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Nogrady B. Tweeting your research paper boosts engagement but not citations. Nature 2024:10.1038/d41586-024-00922-y. [PMID: 38532166 DOI: 10.1038/d41586-024-00922-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/28/2024]
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Betz K, Giordano M, Hillmann HAK, Duncker D, Dobrev D, Linz D. The impact of Twitter/X promotion on visibility of research articles: Results of the #TweetTheJournal study. INTERNATIONAL JOURNAL OF CARDIOLOGY. HEART & VASCULATURE 2024; 50:101328. [PMID: 38419603 PMCID: PMC10899730 DOI: 10.1016/j.ijcha.2023.101328] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 12/02/2023] [Accepted: 12/06/2023] [Indexed: 03/02/2024]
Abstract
Aim Social media (SoMe) are emerging as important tools for research dissemination. Twitter/X promotion has been shown to increase citation rates in well-established journals. We aimed to test the effect of a SoMe promotion strategy on the Mendeley reader counts, the Altmetric Attention Score and the number of citations in an upcoming open-access journal. Methods The #TweetTheJournal study is a randomized, controlled study. Articles published in seven subsequent issues of the International Journal of Cardiology Heart & Vasculature (April 2021-April 2022) were randomized to a Twitter/X promotion arm (articles were posted four times) and to a control arm (without active posting). Articles with accompanied editorials were excluded. Primary endpoint of the study was Mendeley reader count, secondary endpoints were Altmetric Attention Score and number of citations. Follow-up was one year. Results SoMe promotion of articles showed no statistically significant difference in Mendeley reader counts or number of citations at one year follow up. SoMe promotion resulted in a statistically significant higher Altmetric Attention Score in the intervention compared to the control group (RR 1.604, 95 % CI 1.024-2.511, p = 0.039). In the overall group, Altmetric Attention Score showed a correlation with Mendeley reader counts (Spearman's ρ = 0.202, p = 0.010) and Mendeley reader counts correlated significantly with number of citations (Spearman's ρ = 0.372, p < 0.001). Conclusion A dedicated SoMe promotion strategy did not result in statistically significant differences in early impact indicators as the Mendeley reader count in a upcoming journal, but increased the Altmetric Attention Score.
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Affiliation(s)
- Konstanze Betz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands
- Department of Internal Medicine, Eifelklinik St. Brigida GmBH & Co KG, Simmerath, Germany
- Netherlands Heart Institute, Utrecht, Netherlands
| | | | | | - David Duncker
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Dobromir Dobrev
- Institute of Pharmacology, West German Heart and Vascular Center, University Duisburg-Essen, Germany
- Montréal Heart Institute, University de Montréal, Montréal, Quebec, Canada
- Department of Integrative Physiology, Baylor College of Medicine, Houston, USA
| | - Dominik Linz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Ugonabo O, Malik SU, Akbar UA, Zamani Z, Frandah W. Physician-scientists or celebrities? Kardashian-index of gastroenterologists. World J Methodol 2023; 13:337-344. [PMID: 37771873 PMCID: PMC10523252 DOI: 10.5662/wjm.v13.i4.337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 07/18/2023] [Accepted: 08/29/2023] [Indexed: 09/20/2023] Open
Abstract
BACKGROUND The coronavirus disease 2019 pandemic unleashed a flood of untrustworthy information on social media platforms, resulting in the unfortunate consequence of expert scientists' opinions getting lost amidst the chaotic sea of misinformation. The question of how much influence these esteemed scientists hold on social media platforms remains elusive. To address this scientific quandary, we sought to explore the concept of the Kardashian index (K-index), a term introduced by Hall in 2014. This metric provides a rudimentary means of evaluating whether a physician scientist's popularity on social media aligns with their significant scientific contributions. AIM To evaluate if a Gastroenterologist physician's popularity on social media is at par with their scientific contributions (research articles and publications). METHODS We conducted an extensive search to identify all gastroenterologists actively practicing and associated with the top 100 hospitals as reported by the United States News. We collected specific data on a sub-group including their names, affiliations, degrees, and sub-specializations. To gauge their social media popularity, we utilized the K-index calculation which is determined by dividing the actual number of Twitter followers by the number of researcher's citations. The expected number of followers (F) is calculated using the formula F = 43.3 C ^ 0.32, where C represents the number of citations. RESULTS Physicians affiliated with the Mayo Clinic emerged as the most prominent presence on Twitter, constituting 16% of the total. They were followed closely by physicians from Mount Sinai Hospital (9%) and the University of Michigan Hospital (9%). Surprisingly, 76% of the physicians evaluated exhibited a low K-index, falling within the range of 0 to less than 2. This suggests that a significant number of highly influential physician-scientists are not receiving due recognition, as indicated by their relatively low number of followers. On the other hand, 24% of the physicians had an inflated K-index, exceeding 5, which positioned them as the "Kardashians". These individuals enjoyed greater social media popularity than their actual scientific contributions. Interestingly, our analysis revealed no discernible association between sex and K-index (P value of 0.92). CONCLUSION In the gastroenterology field, our study estimated that a majority (76%) of highly researched physicians are undervalued despite their significant scientific contributions.
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Affiliation(s)
- Onyinye Ugonabo
- Department of Internal Medicine, Marshall University Joan C. Edwards School of Medicine, Huntington, WV 25701, United States
| | - Saad Ullah Malik
- Department of Cardiology, Geisinger Medical Center, Danville, PA 17821, United States
| | - Usman Ali Akbar
- Department of Internal Medicine, West Virginia University-Camden Clark Medical Center, Parkersburg, WV 26101, United States
| | - Zarlakhta Zamani
- Department of Internal Medicine, Centinela Hospital Medical Center, Inglewood, CA 90301, United States
| | - Wesam Frandah
- Department of Gastroenterology, Marshall University Joan C. Edwards School of Medicine, Huntington, WV 25701, United States
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Kini SD, Houssein FA, Derbarsegian A, Adams SM, Phillips KM, Sedaghat AR. Surveying the Landscape of Social Media Usage for Health Care by Otolaryngology Patients. Laryngoscope 2023; 133:2116-2121. [PMID: 36373871 DOI: 10.1002/lary.30484] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 10/04/2022] [Accepted: 10/25/2022] [Indexed: 11/16/2022]
Abstract
OBJECTIVE To determine factors associated with social media usage for finding a doctor or seeking medical advice among otolaryngology patients. METHODS Cross-sectional study of 361 patients visiting our clinics. All participants were asked if they were aware social media may be used to find doctors and if they had ever done so, and also if they were aware social media could be used to get advice about a medical condition or its treatment and if they had ever done so. Demographic characteristics were examined for association with affirmative answers to these questions. RESULTS Facebook was the most used social media platform with 50.7% using Facebook daily. Over 50% of participants were aware social media could be used to find a doctor or seek medical advice. Daily use of Facebook was associated with using social media for finding a doctor (OR = 2.57, 95%CI: 1.41-4.67, p = 0.002) and seeking medical advice (OR = 1.72, 95%CI: 1.09-2.71, p = 0.020). Having Medicare was associated with using social media to find a doctor (OR = 2.20, 95%CI: 1.15-4.21, p = 0.017), whereas Medicaid was associated with using social media for medical advice (OR = 1.99, 95%CI: 1.08-3.67, p = 0.027). CONCLUSION A majority of otolaryngology patients may be aware of health care applications of social media, with Facebook being the dominant platform, and Medicare insurance identifying patients who may most use social media in this manner. There is also an indication that social determinants of health, as reflected by Medicaid insurance, may be associated with using social media to seek medical advice. LEVEL OF EVIDENCE NA Laryngoscope, 133:2116-2121, 2023.
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Affiliation(s)
- Sameer D Kini
- Department of Otolaryngology-Head and Neck Surgery, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Firas A Houssein
- Department of Otolaryngology-Head and Neck Surgery, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Armo Derbarsegian
- Department of Otolaryngology-Head and Neck Surgery, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Sarah M Adams
- Department of Otolaryngology-Head and Neck Surgery, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Katie M Phillips
- Department of Otolaryngology-Head and Neck Surgery, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Ahmad R Sedaghat
- Department of Otolaryngology-Head and Neck Surgery, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
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Ellis JT, Reichel MP. Twitter trends in #Parasitology determined by text mining and topic modelling. CURRENT RESEARCH IN PARASITOLOGY & VECTOR-BORNE DISEASES 2023; 4:100138. [PMID: 37670843 PMCID: PMC10475476 DOI: 10.1016/j.crpvbd.2023.100138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 08/08/2023] [Accepted: 08/10/2023] [Indexed: 09/07/2023]
Abstract
This study investigated the emergence and use of Twitter, as of July 2023 being rebranded as X, as the main forum for social media communication in parasitology. A dataset of tweets was constructed using a keyword search of Twitter with the search terms 'malaria', 'Plasmodium', 'Leishmania', 'Trypanosoma', 'Toxoplasma' and 'Schistosoma' for the period from 2011 to 2020. Exploratory data analyses of tweet content were conducted, including language, usernames and hashtags. To identify parasitology topics of discussion, keywords and phrases were extracted using KeyBert and biterm topic modelling. The sentiment of tweets was analysed using VADER. The results show that the number of tweets including the keywords increased from 2011 (for malaria) and 2013 (for the others) to 2020, with the highest number of tweets being recorded in 2020. The maximum number of yearly tweets for Plasmodium, Leishmania, Toxoplasma, Trypanosoma and Schistosoma was recorded in 2020 (2804, 2161, 1570, 680 and 360 tweets, respectively). English was the most commonly used language for tweeting, although the percentage varied across the searches. In tweets mentioning Leishmania, only ∼37% were in English, with Spanish being more common. Across all the searches, Portuguese was another common language found. Popular tweets on Toxoplasma contained keywords relating to mental health including depression, anxiety and schizophrenia. The Trypanosoma tweets referenced drugs (benznidazole, nifurtimox) and vectors (bugs, triatomines, tsetse), while the Schistosoma tweets referenced areas of biology including pathology, eggs and snails. A wide variety of individuals and organisations were shown to be associated with Twitter activity. Many journals in the parasitology arena regularly tweet about publications from their journal, and professional societies promote activity and events that are important to them. These represent examples of trusted sources of information, often by experts in their fields. Social media activity of influencers, however, who have large numbers of followers, might have little or no training in science. The existence of such tweeters does raise cause for concern to parasitology, as one may start to question the quality of information being disseminated.
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Affiliation(s)
- John T. Ellis
- School of Life Sciences, University of Technology Sydney, Broadway, NSW, Australia
| | - Michael P. Reichel
- Department of Population Medicine & Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA
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6
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Crocker B, Feng O, Duncan LR. Performance-Based Measurement of eHealth Literacy: Systematic Scoping Review. J Med Internet Res 2023; 25:e44602. [PMID: 37266975 PMCID: PMC10276324 DOI: 10.2196/44602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 01/23/2023] [Accepted: 03/01/2023] [Indexed: 03/05/2023] Open
Abstract
BACKGROUND eHealth literacy describes the ability to locate, comprehend, evaluate, and apply web-based health information to a health problem. In studies of eHealth literacy, researchers have primarily assessed participants' perceived eHealth literacy using a short self-report instrument, for which ample research has shown little to no association with actual performed eHealth-related skills. Performance-based measures of eHealth literacy may be more effective at assessing actual eHealth skills, yet such measures seem to be scarcer in the literature. OBJECTIVE The primary purpose of this study was to identify tools that currently exist to measure eHealth literacy based on objective performance. A secondary purpose of this study was to characterize the prevalence of performance-based measurement of eHealth literacy in the literature compared with subjective measurement. METHODS We conducted a systematic scoping review of the literature, aligning with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist, in 3 stages: conducting the search, screening articles, and extracting data into a summary table. The summary table includes terminology for eHealth literacy, description of participants, instrument design, health topics used, and a brief note on the evidence of validity for each performance-based measurement tool. A total of 1444 unique articles retrieved from 6 relevant databases (MEDLINE; PsycINFO; CINAHL; Library and Information Science Abstracts [LISA]; Library, Information Science & Technology Abstracts [LISTA]; and Education Resources Information Center [ERIC]) were considered for inclusion, of which 313 (21.68%) included a measure of eHealth literacy. RESULTS Among the 313 articles that included a measure of eHealth literacy, we identified 33 (10.5%) that reported on 29 unique performance-based eHealth literacy measurement tools. The types of tools ranged from having participants answer health-related questions using the internet, having participants engage in simulated internet tasks, and having participants evaluate website quality to quizzing participants on their knowledge of health and the web-based health information-seeking process. In addition, among the 313 articles, we identified 280 (89.5%) that measured eHealth literacy using only a self-rating tool. CONCLUSIONS This study is the first research synthesis looking specifically at performance-based measures of eHealth literacy and may direct researchers toward existing performance-based measurement tools to be applied in future projects. We discuss some of the key benefits and drawbacks of different approaches to performance-based measurement of eHealth literacy. Researchers with an interest in gauging participants' actual eHealth literacy (as opposed to perceived eHealth literacy) should make efforts to incorporate tools such as those identified in this systematic scoping review.
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Affiliation(s)
- Bradley Crocker
- Department of Kinesiology & Physical Education, McGill University, Montreal, QC, Canada
| | - Olivia Feng
- Department of Kinesiology & Physical Education, McGill University, Montreal, QC, Canada
| | - Lindsay R Duncan
- Department of Kinesiology & Physical Education, McGill University, Montreal, QC, Canada
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Thelwall M, Kousha K, Abdoli M, Stuart E, Makita M, Wilson P, Levitt J. Do altmetric scores reflect article quality? Evidence from the
UK
Research Excellence Framework 2021. J Assoc Inf Sci Technol 2023. [DOI: 10.1002/asi.24751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Affiliation(s)
- Mike Thelwall
- Statistical Cybermetrics and Research Evaluation Group University of Wolverhampton Wolverhampton UK
| | - Kayvan Kousha
- Statistical Cybermetrics and Research Evaluation Group University of Wolverhampton Wolverhampton UK
| | - Mahshid Abdoli
- Statistical Cybermetrics and Research Evaluation Group University of Wolverhampton Wolverhampton UK
| | - Emma Stuart
- Statistical Cybermetrics and Research Evaluation Group University of Wolverhampton Wolverhampton UK
| | - Meiko Makita
- Statistical Cybermetrics and Research Evaluation Group University of Wolverhampton Wolverhampton UK
| | - Paul Wilson
- Statistical Cybermetrics and Research Evaluation Group University of Wolverhampton Wolverhampton UK
| | - Jonathan Levitt
- Statistical Cybermetrics and Research Evaluation Group University of Wolverhampton Wolverhampton UK
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Yılmaz M, Polat OA. Altmetric and Bibliographic Analysis of the Most Popular Articles on Vitreoretinal Surgery Between 2010 and 2020. Cureus 2023; 15:e36465. [PMID: 37090327 PMCID: PMC10117227 DOI: 10.7759/cureus.36465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/21/2023] [Indexed: 04/25/2023] Open
Abstract
Purpose Altmetrics is a web-based metrics method that measures the online dissemination of an article and the interactions it receives. We aimed to perform a bibliometric and altmetrics analysis of the 100 most cited articles (T100) on vitreoretinal surgery (VRS) published between 2010 and 2020. Methods A detailed search including terms regarding VRS in the Web of Science database was conducted. Articles were examined for bibliometric data and altmetrics. Results T100 articles had citation numbers ranging from 55 to 368 and altmetrics score (AS) values ranging from 0 to 125, and there was no statistically significant correlation between them. AS was weakly correlated with publication year. A statistically weak negative correlation was also found between AS and percent of citable open access, number of years since publication (NYsP), and average citations per year (ACpY). Conclusion AS values of articles on VRS were found to be low. Apparently, this was because the issue was of a highly specific and technical nature. However, the existence of articles with a zero AS value despite high citation numbers suggests that journals and authors do not yet attach enough importance to altmetrics. Altmetric analysis is not a reliable indicator for evaluating the scientific value of an article, and it cannot be a substitute for traditional metrics but it can provide perspective on the social impact of articles.
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Affiliation(s)
- Mevlüt Yılmaz
- Department of Ophthalmology, Ankara Etlik City Hospital Integrated Healthcare Campus, Ankara, TUR
| | - Osman Ahmet Polat
- Department of Ophthalmology, Erciyes University Faculty of Medicine, Kayseri, TUR
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Karmakar M, Singh VK, Banshal SK. Measuring altmetric events: the need for longer observation period and article level computations. GLOBAL KNOWLEDGE, MEMORY AND COMMUNICATION 2023. [DOI: 10.1108/gkmc-08-2022-0203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Purpose
This paper aims to explore the impact of the data observation period on the computation of altmetric measures like velocity index (VI) and half-life. Furthermore, it also attempts to determine whether article-level computations are better than computations on the whole of the data for computing such measures.
Design/methodology/approach
The complete publication records for the year 2016 indexed in Web of Science and their altmetric data (original tweets) obtained from PlumX are obtained and analysed. The creation date of articles is taken from Crossref. Two time-dependent variables, namely, half-life and VI are computed. The altmetric measures are computed for all articles at different observation points, and by using whole group as well as article-level averaging.
Findings
The results show that use of longer observation period significantly changes the values of different altmetric measures computed. Furthermore, use of article-level delineation is advocated for computing different measures for a more accurate representation of the true values for the article distribution.
Research limitations/implications
The analytical results show that using different observation periods change the measured values of the time-related altmetric measures. It is suggested that longer observation period should be used for appropriate measurement of altmetric measures. Furthermore, the use of article-level delineation for computing the measures is advocated as a more accurate method to capture the true values of such measures.
Practical implications
The research work suggests that altmetric mentions accrue for a longer period than the commonly believed short life span and therefore the altmetric measurements should not be limited to observation of early accrued data only.
Social implications
The present study indicates that use of altmetric measures for research evaluation or other purposes should be based on data for a longer observation period and article-level delineation may be preferred. It contradicts the common belief that tweet accumulation about scholarly articles decay quickly.
Originality/value
Several studies have shown that altmetric data correlate well with citations and hence early altmetric counts can be used to predict future citations. Inspired by these findings, majority of such monitoring and measuring exercises have focused mainly on capturing immediate altmetric event data for articles just after the publication of the paper. This paper demonstrates the impact of the observation period and article-level aggregation on such computations and suggests to use a longer observation period and article-level delineation. To the best of the authors’ knowledge, this is the first such study of its kind and presents novel findings.
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Kukafka R, Jung W, Jiang T, Zhu Y. An Exploratory Study of Medical Journal's Twitter Use: Metadata, Networks, and Content Analyses. J Med Internet Res 2023; 25:e43521. [PMID: 36656626 PMCID: PMC9896359 DOI: 10.2196/43521] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 11/21/2022] [Accepted: 11/30/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND An increasing number of medical journals are using social media to promote themselves and communicate with their readers. However, little is known about how medical journals use Twitter and what their social media management strategies are. OBJECTIVE This study aimed to understand how medical journals use Twitter from a global standpoint. We conducted a broad, in-depth analysis of all the available Twitter accounts of medical journals indexed by major indexing services, with a particular focus on their social networks and content. METHODS The Twitter profiles and metadata of medical journals were analyzed along with the social networks on their Twitter accounts. RESULTS The results showed that overall, publishers used different strategies regarding Twitter adoption, Twitter use patterns, and their subsequent decisions. The following specific findings were noted: journals with Twitter accounts had a significantly higher number of publications and a greater impact than their counterparts; subscription journals had a slightly higher Twitter adoption rate (2%) than open access journals; journals with higher impact had more followers; and prestigious journals rarely followed other lesser-known journals on social media. In addition, an in-depth analysis of 2000 randomly selected tweets from 4 prestigious journals revealed that The Lancet had dedicated considerable effort to communicating with people about health information and fulfilling its social responsibility by organizing committees and activities to engage with a broad range of health-related issues; The New England Journal of Medicine and the Journal of the American Medical Association focused on promoting research articles and attempting to maximize the visibility of their research articles; and the British Medical Journal provided copious amounts of health information and discussed various health-related social problems to increase social awareness of the field of medicine. CONCLUSIONS Our study used various perspectives to investigate how medical journals use Twitter and explored the Twitter management strategies of 4 of the most prestigious journals. Our study provides a detailed understanding of medical journals' use of Twitter from various perspectives and can help publishers, journals, and researchers to better use Twitter for their respective purposes.
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Affiliation(s)
| | - Woojin Jung
- Department of Library and Information Science, Sungkyunkwan University, Seoul, Republic of Korea
| | - Ting Jiang
- Department of Library and Information Science, Sungkyunkwan University, Seoul, Republic of Korea
| | - Yongjun Zhu
- Department of Library and Information Science, Yonsei University, Seoul, Republic of Korea
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Cao R, Liu XF, Fang Z, Xu XK, Wang X. How do scientific papers from different journal tiers gain attention on social media? Inf Process Manag 2023. [DOI: 10.1016/j.ipm.2022.103152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Chan CH, Zeng J, Schäfer MS. Whose research benefits more from Twitter? On Twitter-worthiness of communication research and its role in reinforcing disparities of the field. PLoS One 2022; 17:e0278840. [PMID: 36508423 PMCID: PMC10045544 DOI: 10.1371/journal.pone.0278840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 11/26/2022] [Indexed: 12/14/2022] Open
Abstract
Twitter has become an important promotional tool for scholarly work, but individual academic publications have varied degrees of visibility on the platform. We explain this variation through the concept of Twitter-worthiness: factors making certain academic publications more likely to be visible on Twitter. Using publications from communication studies as our analytical case, we conduct statistical analyses of 32187 articles spanning 82 journals. Findings show that publications from G12 countries, covering social media topics and published open access tend to be mentioned more on Twitter. Similar to prior studies, this study demonstrates that Twitter mentions are associated with peer citations. Nevertheless, Twitter also has the potential to reinforce pre-existing disparities between communication research communities, especially between researchers from developed and less-developed regions. Open access, however, does not reinforce such disparities.
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Affiliation(s)
- Chung-hong Chan
- GESIS - Leibniz-Institut für Sozialwissenschaften, Mannheim, Germany
- * E-mail:
| | - Jing Zeng
- Department of Media and Culture Studies, Utrecht University, Utrecht, Netherlands
| | - Mike S. Schäfer
- Department of Communication and Media Research, University of Zurich, Zurich, Switzerland
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Muacevic A, Adler JR. An Analysis of the 50 Most-Cited "Uveitis" Articles Published Between 2010-2020 From a Bibliographic and Altmetric Perspective. Cureus 2022; 14:e29930. [PMID: 36348932 PMCID: PMC9634141 DOI: 10.7759/cureus.29930] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/04/2022] [Indexed: 01/25/2023] Open
Abstract
Purpose We aimed to evaluate the 50 most-cited articles on uveitis according to their Altmetric Attention Score (AAS) and additional metrics. Methods The Web of Science (WoS) core collection database was used in this study. The article and journal metrics and characteristics were examined. In addition, the effect of article and journal metrics on the AAS was examined with multivariate adaptive regression splines (MARS). Results The number of citations of the evaluated articles ranged from 670 to 90, and AASs ranged from 633 to 0. According to the MARS model, the importance scores of the predictors were as follows: article influence score (100%), immediacy index (77.74%), number of years since publication (57.79%), times cited in WoS (32.69%). We found that the trend of articles on uveitis was related to the "treatment category", namely, adalimumab. Second, the popular topic was uveitis caused by viruses. Conclusions We found that citation-based metrics and year of publication contributed to AAS. AAS appears to be inadequate in assessing the quality of articles. However, due to the electronic transformation of the publishing industry, it seems inevitable that altmetrics will become an additional supportive metric.
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Does university–industry–government collaboration in research gets higher citation and altmetric impact? A case study from India. Scientometrics 2022. [DOI: 10.1007/s11192-022-04508-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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Banshal SK, Gupta S, Lathabai HH, Singh VK. Power Laws in altmetrics: An empirical analysis. J Informetr 2022. [DOI: 10.1016/j.joi.2022.101309] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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16
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User engagement with scholarly tweets of scientific papers: a large-scale and cross-disciplinary analysis. Scientometrics 2022. [DOI: 10.1007/s11192-022-04468-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
AbstractThis study investigates the extent to which scholarly tweets of scientific papers are engaged with by Twitter users through four types of user engagement behaviors, i.e., liking, retweeting, quoting, and replying. Based on a sample consisting of 7 million scholarly tweets of Web of Science papers, our results show that likes is the most prevalent engagement metric, covering 44% of scholarly tweets, followed by retweets (36%), whereas quotes and replies are only present for 9% and 7% of all scholarly tweets, respectively. From a disciplinary point of view, scholarly tweets in the field of Social Sciences and Humanities are more likely to trigger user engagement over other subject fields. The presence of user engagement is more associated with other Twitter-based factors (e.g., number of mentioned users in tweets and number of followers of users) than with science-based factors (e.g., citations and Mendeley readers of tweeted papers). Building on these findings, this study sheds light on the possibility to apply user engagement metrics in measuring deeper levels of Twitter reception of scholarly information.
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Exploring the relationships between altmetric counts and citations of papers in different academic fields based on co-occurrence analysis. Scientometrics 2022. [DOI: 10.1007/s11192-022-04456-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Sykes M, Cerda L, Cerda J, Finch T. Disseminating implementation science: Describing the impact of animations shared via social media. PLoS One 2022; 17:e0270605. [PMID: 35797367 PMCID: PMC9262190 DOI: 10.1371/journal.pone.0270605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 06/13/2022] [Indexed: 11/25/2022] Open
Abstract
Background Dissemination is an under-researched activity that is important to researchers and funders and may have a role in creating conditions for implementation. We aim to study the impact of two animations shared via social media upon dissemination. Methods We developed two short animations to increase the awareness of healthcare positional leaders of work undertaken to enhance a much-used implementation intervention. We measured both how frequently the related articles were accessed, and engagement with the research team, before and after the intervention. We analysed variation over time using statistical process control to identify both trend and periods of significant change. Results We found evidence that the animation increased how frequently the articles were accessed, with a significant increase (p = <0.01) during the two weeks after release of each animation. One animation was associated with an increase in positional leaders’ engagement with the research team. Conclusions Animations shared via social media can enhance dissemination. We describe lessons from the work to develop the intervention and support calls for work to increase the understanding and adoption of effective dissemination interventions. Our findings provide support for further work using randomised study designs.
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Affiliation(s)
- Michael Sykes
- Department of Nursing, Midwifery and Health, Northumbria University, Newcastle Upon Tyne, United Kingdom
- * E-mail:
| | | | | | - Tracy Finch
- Department of Nursing, Midwifery and Health, Northumbria University, Newcastle Upon Tyne, United Kingdom
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19
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Okagbue HI, Akinsola BE, Teixeira da Silva JA. Relationship between number of downloads and three journal-based metrics of 11 subject categories among 1575 Springer Nature journals. COLLNET JOURNAL OF SCIENTOMETRICS AND INFORMATION MANAGEMENT 2022. [DOI: 10.1080/09737766.2022.2117667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Hilary I. Okagbue
- Department of Mathematics, Covenant University, Canaanland, P.M.B 1023, Ota, Nigeria
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20
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Adetayo AJ. Research output and visibility of librarians: Are social media influencers or distractors? JOURNAL OF LIBRARIANSHIP AND INFORMATION SCIENCE 2022. [DOI: 10.1177/09610006221106177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The study examined the influence of social media use on research output and visibility of librarians in university libraries in southwestern, Nigeria. A descriptive survey research approach was utilised in the study. The population consisted of 363 librarians from all of southwestern Nigeria’s university libraries. Data were analysed using descriptive and inferential statistics. The findings revealed that librarians produce a high level of research output but their research visibility is low. The use of social media significantly positively influenced the research output and visibility of librarians. The study concluded that the use of social media can improve librarians’ research output and visibility, and thus recommends that more effort be made to expand the use of social media such as Yahoo, ResearchGate, Zotero, ORCID and LinkedIn, as well as greater awareness of social bookmarking tools such as Bibsonomy.
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Peres MF, Braschinsky M, May A. Effect of Altmetric score on manuscript citations: A randomized-controlled trial. Cephalalgia 2022; 42:1317-1322. [PMID: 35702033 DOI: 10.1177/03331024221107385] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Alternative metrics to traditional, citation-based metrics are increasingly being used. These are complementary to traditional metrics, like downloads and citations, and give information on how often a given journal article is discussed and used in professional (reference managers) and social networks, such as mainstream media and Twitter. Altmetrics is used in most journals and is available in all indexed headache medicine journals. Whether Altmetrics have an input on traditional, citation-based metrics or whether it is a stand-alone metric system is not clear. Actively promoting a paper through media channels will probably increase the Altmetric score but the question arises whether this will also increase citations and downloads of this individual paper. METHODS Focusing on this point we performed a randomized study in order to test the hypothesis that a promotion intervention would improve citations and other science metric scores. We selected 48 papers published in Cephalalgia from July 2019 to January 2020 and randomized them to either receive an active promotion through social media channels or not. The primary outcome used was the difference between mean article citations with versus without intervention 12 months after the intervention period. RESULTS The results show that the alternative metrics significantly increased for those papers randomly selected to receive an intervention compared to those who did not. This effect was observed in the first 12 months, right after the boosting strategy was performed. The higher promoted paper diffusion in social media lead to a significantly higher number of citations and downloads. CONCLUSION Further promotion strategies should be studied in order to tailor the best cost-benefit intervention.
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Affiliation(s)
- Mario Fp Peres
- Sao Paulo Headache Center, Albert Einstein Hospital, Institute of Psychiatry - HCFMUSP in São Paulo, Brazil
| | | | - Arne May
- Department of Systems Neuroscience, University Clinic Hamburg Eppendorf, Hamburg, Germany
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22
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Ma Y, Li T, Mao J, Ba Z, Li G. Identifying widely disseminated scientific papers on social media. Inf Process Manag 2022. [DOI: 10.1016/j.ipm.2022.102945] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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23
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Raman R, Achuthan K, Nair VK, Nedungadi P. Virtual Laboratories- A historical review and bibliometric analysis of the past three decades. EDUCATION AND INFORMATION TECHNOLOGIES 2022; 27:11055-11087. [PMID: 35502162 PMCID: PMC9046012 DOI: 10.1007/s10639-022-11058-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 04/12/2022] [Indexed: 05/09/2023]
Abstract
Online and virtual teaching-learning has been a panacea that most educational institutions adopted from the dire need created by COVID-19. We provide a comprehensive bibliometric study of 9523 publications on virtual laboratories in higher education covering the years 1991 to 2021. Influential bibliometrics such as publications and citations, productive countries, contributing institutions, funders, journals, authors, and bibliographic couplings were studied using the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol. A new metric to complement citations called Field Weighted Citation Impact was introduced that considers the differences in research behavior across disciplines. Findings show that 72% of the research work was published between 2011-and 2021, most likely due to digitalization, with the highest number of publications in 2020-2021 highlighting the impact of the pandemic. Top contributing institutions were from the developed economies of Spain, Germany, and the United States. The citation impact from publications with international co-authors is the highest, highlighting the importance of co-authoring papers with different countries. For the first time, Altmetrics in the context of virtual labs were studied though a very low correlation was observed between citations and Altmetrics Attention Score. Still, the overall percentage of publications with attention showed linear growth. Our work also highlights that virtual laboratory could play a significant role in achieving the United Nations Sustainable Development Goals, specifically SDG4-Quality Education, which largely remains under-addressed.
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Affiliation(s)
- Raghu Raman
- Amrita School of Business, Amrita Vishwa Vidyapeetham, Amritapuri, India
| | - Krishnashree Achuthan
- Center for Cybersecurity Systems and Networks, Amrita Vishwa Vidyapeetham, Amritapuri, India
| | - Vinith Kumar Nair
- Amrita Center for Accreditations, Rankings & Eminence, Amrita Vishwa Vidyapeetham, Amritapuri, India
| | - Prema Nedungadi
- Center for Research, Analytics and Technology in Education (CREATE) and School of Computing, Amritapuri, Amrita Vishwa Vidyapeetham, Amritapuri, India
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24
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Guglielmi G. You must be joking: funny paper titles might lead to more citations. Nature 2022:10.1038/d41586-022-00946-2. [PMID: 35388156 DOI: 10.1038/d41586-022-00946-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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25
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Ellis J, Ellis B, Tyler K, Reichel MP. Recent trends in the use of social media in parasitology and the application of alternative metrics. CURRENT RESEARCH IN PARASITOLOGY & VECTOR-BORNE DISEASES 2022; 1:100013. [PMID: 35284864 PMCID: PMC8906104 DOI: 10.1016/j.crpvbd.2021.100013] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 01/18/2021] [Accepted: 01/27/2021] [Indexed: 11/12/2022]
Abstract
In recent times, the use of social media for the dissemination of “news and views” in parasitology has increased in popularity. News, Twitter and Blogs have emerged as commonplace vehicles in the knowledge dissemination and transfer process. Alternative metrics (“altmetrics”), based on social media mentions have been proposed as a measure of societal impact, although firm evidence for this relationship is yet to be found. Nevertheless, increasing amounts of data on “altmetrics” are being analysed to identify the nature of the unknown impact that social media is generating. Here, we examine the recent, and increasing use of social media in the field of parasitology and the relationship of “altmetrics” with more traditional bibliometric indicators, such as article citations and journal metrics. The analyses document the rise and dominance of Twitter as the main form of social media occurring in the discipline of parasitology and note the contribution to this trend of Twitter bots that automatically tweet about publications. We also report on the use of the social referencing platform Mendeley and its correlation to article citations; Mendeley reader numbers are now considered to provide firm evidence on the early impact of research. Finally, we consider the Twitter profile of 31 journals publishing parasitology research articles (by volume of papers published); we show that 13 journals are associated with prolific Twitter activity about parasitology. We hope this study will stimulate not only the continued and responsible use of social media to disseminate knowledge about parasitology for the greater good, but also encourage others to further investigate the impact and benefits that altmetrics may bring to this discipline.
We highlight and document the rise of social media and its use in parasitology. Twitter activity within the parasitology community has increased significantly over the last 10 years. Mendeley reader activity is strongly correlated with an article's citations. Thirteen journals are associated with prolific Twitter activity about parasitology. A Journalʼs social media strategy is important to authors.
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Affiliation(s)
- John Ellis
- School of Life Sciences, University of Technology Sydney, Broadway, NSW, Australia
| | - Bethany Ellis
- Research School of Earth Sciences, Australian National University, Canberra, ACT, Australia
| | - Kevin Tyler
- Norwich Medical School, University of East Anglia, Norwich, Norfolk, UK
| | - Michael P Reichel
- Department of Population Medicine & Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA
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26
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Özkent Y. Social media usage to share information in communication journals: An analysis of social media activity and article citations. PLoS One 2022; 17:e0263725. [PMID: 35139134 PMCID: PMC8827420 DOI: 10.1371/journal.pone.0263725] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 01/25/2022] [Indexed: 12/23/2022] Open
Abstract
Social media has surrounded every area of life, and social media platforms have become indispensable for today’s communication. Many journals use social media actively to promote and disseminate new articles. Its use to share the articles contributes many benefits, such as reaching more people and spreading information faster. However, there is no consensus in the studies that to evaluate between tweeted and non-tweeted papers regarding their citation numbers. Therefore, it was aimed to show the effect of social media on the citations of articles in the top ten communication-based journals. For this purpose, this work evaluated original articles published in the top 10 communication journals in 2018. The top 10 communication-based journals were chosen based on SCImago Journal & Country Rank (cited in 2019). Afterward, it was recorded the traditional citation numbers (Google Scholar and Thompson-Reuters Web of Science) and social media exposure of the articles in January 2021 (nearly three years after the articles’ publication date). It was assumed that this period would allow the impact of the published articles (the citations and Twitter mentions) to be fully observed. Based on this assessment, a positive correlation between exposure to social media and article citations was observed in this study.
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Affiliation(s)
- Yasemin Özkent
- Department of Radio Television and Cinema, Selcuk University, Konya, Turkey
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27
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Outreach and Post-Publication Impact of Soil Erosion Modelling Literature. SUSTAINABILITY 2022. [DOI: 10.3390/su14031342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Back in the 1930s, the aphorism “publish or perish” first appeared in an academic context. Today, this phrase is becoming a harsh reality in several academic environments, and scientists are giving increasing attention to publishing and disseminating their scientific work. Soil erosion modelers make no exception. With the introduction of the bibliometric field, the evaluation of the impact of a piece of scientific work becomes more articulated. The post-publication impact of the research became an important aspect too. In this study, we analyse the outreach and the impact of the literature on soil erosion modelling using the altmetric database, i.e., Altmetric. In our analysis, we use only a small fraction (around 15%) of Global Applications of Soil Erosion Modelling Tracker (GASEMT) papers because only 257 papers out of 1697 had an Altmetric Score (AS) larger than 0. We observed that media and policy documents mentioned more frequently literature dealing with global-scale assessments and future projection studies than local-scale ones. Papers that are frequently cited by researchers do not necessarily also yield high media and policy outreach. The GASEMT papers that had an AS larger than 0 were, on average, mentioned by one policy document and five Twitter users and had 100 Mendeley readers. Only around 5% and 9% of papers with AS > 0 appeared in news articles and blogs, respectively. However, this percentage was around 45% for Twitter and policy mentions. The top GASEMT paper’s upper bound was around 1 million Twitter followers, while this number was around 10,000 for the 10th ranked GASEMT paper. The exponentially increasing trend for erosion modelling papers having an AS has been confirmed, as during the last 3 years (2014–2017), we estimated that the number of entries had doubled compared to 2011–2014 and quadrupled if we compare it with 2008–2011.
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Zhang B, Sun J, Zhang H, Xu C. Can promotion on
WeChat
official accounts improve scholarly journals' academic impact? A micro‐level correlation comparison study. LEARNED PUBLISHING 2022. [DOI: 10.1002/leap.1440] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Bei Zhang
- Editorial Office of Journal of Nanjing University of Aeronautics and Astronautics Nanjing University of Aeronautics and Astronautics Nanjing P. R. China
| | - Jing Sun
- Editorial Office of Journal of Nanjing University of Aeronautics and Astronautics Nanjing University of Aeronautics and Astronautics Nanjing P. R. China
| | - Huangqun Zhang
- Editorial Office of Journal of Nanjing University of Aeronautics and Astronautics Nanjing University of Aeronautics and Astronautics Nanjing P. R. China
| | - Chengting Xu
- Editorial Office of Journal of Nanjing University of Aeronautics and Astronautics Nanjing University of Aeronautics and Astronautics Nanjing P. R. China
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Abstract
AbstractIn order to be able to provide thorough and timely coverage on the most recent scientific research, science journalists frequently rely on embargoed information sent to them by publishers of scientific journals. In such embargo e-mails, publishers purposefully bring selected upcoming releases to the journalists’ attention a few days in advance of their publication. Little is known on how this early highlighting of certain research articles affects their later citations or altmetrics. We present an exploratory case study with the aim of assessing the effects of such promotion activities on scientific articles’ bibliometric and altmetric indicators. In a treatment–control design, we analyze citation counts and eight types of altmetrics of 715 articles published between 2016 and 2017 whose DOIs have been mentioned in embargo e-mails and compare these to articles from the same journal issues that have not been highlighted in embargo e-mails. Descriptive statistics and Mann–Whitney-U tests reveal significant advantages for promoted articles across all regarded metrics three to four years after their publication. Particularly large differences can be seen regarding numbers of mentions in mainstream media, in blogs, on Twitter, and on Facebook. Our findings suggest that scholarly publishers exert significant influence over which research articles will receive attention and visibility in various (social) media. Also, regarding utilizations of metrics for evaluative purposes, the observed effects of promotional activities on indicators might constitute a factor of undesirable influence that currently does not receive the amount of consideration in scientometric assessments that it should receive.
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30
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Coates A. Academic journals' usernames and the threat of fraudulent accounts on social media. LEARNED PUBLISHING 2021. [DOI: 10.1002/leap.1430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Adam Coates
- CEEC, Center for Creative Convergence Education Hanyang University Seoul South Korea
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31
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Zhang L, Wang J. What affects publications’ popularity on Twitter? Scientometrics 2021. [DOI: 10.1007/s11192-021-04152-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Association Between Immediacy of Citations and Altmetrics in COVID-19 Research by Artificial Neural Networks. Disaster Med Public Health Prep 2021; 17:e36. [PMID: 34462034 PMCID: PMC8505816 DOI: 10.1017/dmp.2021.277] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
OBJECTIVES Both citations and Altmetrics are indexes of influence of a publication, potentially useful, but to what extent that the professional-academic citation and media-dominated Altmetrics are consistent with each other is a topic worthy of being investigated. The objective is to show their correlation. METHODS DOI and citation information of coronavirus disease 2019 (COVID-19) researches were obtained from the Web of Science, its Altmetric indicators were collected from the Altmetrics. Correlation between the immediacy of citation and Altmetrics of COVID-19 research was studied by artificial neural networks. RESULTS Pearson coefficients are 0.962, 0.254, 0.222, 0.239, 0.363, 0.218, 0.136, 0.134, and 0.505 (P < 0.01) for dimensions citation, attention score, journal impact factor, news, blogs, Twitter, Facebook, video, and Mendeley correlated with the SCI citation, respectively. The citations from the Web of Science and that from the Altmetrics have deviance large enough in the current. Altmetric score is not precise to describe the immediacy of citations of academic publication in COVID-19 research. CONCLUSIONS The effects of news, blogs, Twitter, Facebook, video, and Mendeley on SCI citations are similar to that of the journal impact factor. This paper performs a pioneer study for investigating the role of academic topics across Altmetric sources on the dissemination of scholarly publications.
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García-Villar C. A critical review on altmetrics: can we measure the social impact factor? Insights Imaging 2021; 12:92. [PMID: 34215935 PMCID: PMC8253863 DOI: 10.1186/s13244-021-01033-2] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 04/02/2021] [Indexed: 12/14/2022] Open
Abstract
Altmetrics measure the digital attention received by a research output. They allow us to gauge the immediate social impact of an article by taking real-time measurements of how it circulates in the Internet. While there are several companies offering attention scores, the most extensive are Altmetric.com (Altmetric Attention Score—AAS) and Plum X (Plum Print). As this is an emerging topic, many medical specialities have tried to establish if there is a relationship between an article’s altmetric data and the citations it subsequently receives. The results have varied depending on the research field. In radiology, the social network most used is Twitter and the subspeciality with the highest AAS is neuroimaging. This article will review the process involved from the start when an article is published through to finally obtaining its altmetric score. It will also address the relationship between altmetrics and more traditional approaches focusing on citations in radiology and will discuss the advantages and limitations of these new impact indicators.
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Affiliation(s)
- Cristina García-Villar
- Radiology Department, Hospital Universitario Puerta del Mar, Ana de Viya Avenue, nº 21. 11009, Cádiz, Spain.
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Betz K, Knuf F, Duncker D, Giordano M, Dobrev D, Linz D. The impact of Twitter promotion on future citation rates: The #TweetTheJournal study. IJC HEART & VASCULATURE 2021; 33:100776. [PMID: 33997253 PMCID: PMC8100062 DOI: 10.1016/j.ijcha.2021.100776] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Konstanze Betz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands
| | - Franziska Knuf
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands
| | - David Duncker
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | | | - Dobromir Dobrev
- Institute of Pharmacology, West German Heart and Vascular Center, University Duisburg-Essen, Germany.,Montréal Heart Institute, University de Montréal, Montréal, Quebec, Canada.,Department of Molecular Physiology & Biophysics, Baylor College of Medicine, Houston, USA
| | - Dominik Linz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands
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Chiang AL, Rabinowitz LG, Alakbarli J, Chan WW. The Patterns and Impact of Social Media Exposure of Journal Publications in Gastroenterology: Retrospective Cohort Study. J Med Internet Res 2021; 23:e25252. [PMID: 33707166 PMCID: PMC8164116 DOI: 10.2196/25252] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Revised: 12/09/2020] [Accepted: 03/11/2021] [Indexed: 11/26/2022] Open
Abstract
Background Medical journals increasingly promote published content through social media platforms such as Twitter. However, gastroenterology journals still rank below average in social media engagement. Objective We aimed to determine the engagement patterns of publications in gastroenterology journals on Twitter and evaluate the impact of tweets on citations. Methods This was a retrospective cohort study comparing the 3-year citations of all full-length articles published in five major gastroenterology journals from January 1, 2012, to December 31, 2012, tweeted by official journal accounts with those that were not. Multivariate analysis using linear regression was performed to control for journal impact factor, time since publication, article type, frequency of reposting by other users (“retweets”), and media addition to tweets. Secondary analyses were performed to assess the associations between article type or subtopic and the likelihood of social media promotion/engagement. Results A total of 1666 articles were reviewed, with 477 tweeted by the official journal account. Tweeting an article independently predicted increased citations after controlling for potential confounders (β coefficient=13.09; P=.007). There was significant association between article type and number of retweets on analysis of variance (ANOVA) (P<.001), with guidelines/technical reviews (mean difference 1.04, 95% CI 0.22-1.87; P<.001) and meta-analyses/systemic reviews (mean difference 1.03, 95% CI 0.35-1.70; P<.001) being retweeted more than basic science articles. The manuscript subtopics most frequently promoted included motility/functional bowel disease (odds ratio [OR] 3.84, 95% CI 1.93-7.64; P<.001) and education (OR 4.69, 95% CI 1.62-13.58; P=.004), while basic science papers were less likely tweeted (OR 0.154, 95% CI 0.07-0.34; P<.001). Conclusions Tweeting of gastroenterology journal articles independently predicted higher 3-year citations. Wider adoption of social media to increase reach and measure uptake of published research should be considered.
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Affiliation(s)
| | | | - Javid Alakbarli
- Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Walter W Chan
- Brigham and Women's Hospital, Boston, MA, United States
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37
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Xu F, Ou G, Ma T, Wang X. The consistency of impact of preprints and their journal publications. J Informetr 2021. [DOI: 10.1016/j.joi.2021.101153] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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38
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Hallgrimson Z, Fabiano N, Salameh JP, Treanor LM, Frank RA, Sharifabadi AD, McInnes MDF. Tweeting Bias in Diagnostic Test Accuracy Research: Does Title or Conclusion Positivity Influence Dissemination? Can Assoc Radiol J 2021; 73:49-55. [PMID: 33874758 DOI: 10.1177/08465371211006420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
PURPOSE To examine if tweeting bias exists within imaging literature by determining if diagnostic test accuracy (DTA) studies with positive titles or conclusions are tweeted more than non-positive studies. METHODS DTA studies published between October 2011 to April 2016 were included. Positivity of titles and conclusions were assessed independently and in duplicate, with disagreements resolved by consensus. A negative binomial regression analysis controlling for confounding variables was performed to assess the relationship between title or conclusion positivity and tweets an article received in the 100 days post-publication. RESULTS 354 DTA studies were included. Twenty-four (7%) titles and 300 (85%) conclusions were positive (or positive with qualifier); 1 (0.3%) title and 23 (7%) conclusions were negative; and 329 (93%) titles and 26 (7%) conclusions were neutral. Studies with positive, negative, and neutral titles received a mean of 0.38, 0.00, and 0.45 tweets per study; while those with positive, negative, and neutral conclusions received a mean of 0.44, 0.61, and 0.38 tweets per study. Regression coefficients were -0.05 (SE 0.46) for positive relative to non-positive titles, and -0.09 (SE 0.31) for positive relative to non-positive conclusions. The positivity of the title (P = 0.91) or conclusion (P = 0.76) was not significantly associated with the number of tweets an article received. CONCLUSIONS The positivity of the title or conclusion for DTA studies does not influence the amount of tweets it receives suggesting that tweet bias is not present among imaging diagnostic accuracy studies. Study protocol available at https://osf.io/hdk2m/.
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Affiliation(s)
- Zachary Hallgrimson
- Department of Radiology, Faculty of Medicine, 6363University of Ottawa, Ontario, Canada
| | - Nicholas Fabiano
- Department of Radiology, Faculty of Medicine, 6363University of Ottawa, Ontario, Canada
| | - Jean-Paul Salameh
- Clinical Epidemiology Program, 10055Ottawa Hospital Research Institute, Ontario, Canada
| | - Lee M Treanor
- Department of Radiology, Faculty of Medicine, 6363University of Ottawa, Ontario, Canada
| | - Robert A Frank
- Department of Radiology, Faculty of Medicine, 6363University of Ottawa, Ontario, Canada
| | | | - Matthew D F McInnes
- Department of Radiology, Faculty of Medicine, 6363University of Ottawa, Ontario, Canada.,Clinical Epidemiology Program, 10055Ottawa Hospital Research Institute, Ontario, Canada
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Gasparyan AY, Yessirkepov M, Voronov AA, Maksaev AA, Kitas GD. Article-Level Metrics. J Korean Med Sci 2021; 36:e74. [PMID: 33754507 PMCID: PMC7985291 DOI: 10.3346/jkms.2021.36.e74] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 03/01/2021] [Indexed: 01/22/2023] Open
Abstract
In the era of digitization and Open Access, article-level metrics are increasingly employed to distinguish influential research works and adjust research management strategies. Tagging individual articles with digital object identifiers allows exposing them to numerous channels of scholarly communication and quantifying related activities. The aim of this article was to overview currently available article-level metrics and highlight their advantages and limitations. Article views and downloads, citations, and social media metrics are increasingly employed by publishers to move away from the dominance and inappropriate use of journal metrics. Quantitative article metrics are complementary to one another and often require qualitative expert evaluations. Expert evaluations may help to avoid manipulations with indiscriminate social media activities that artificially boost altmetrics. Values of article metrics should be interpreted in view of confounders such as patterns of citation and social media activities across countries and academic disciplines.
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Affiliation(s)
- Armen Yuri Gasparyan
- Departments of Rheumatology and Research and Development, Dudley Group NHS Foundation Trust (Teaching Trust of the University of Birmingham, UK), Russells Hall Hospital, Dudley, UK.
| | - Marlen Yessirkepov
- Department of Biology and Biochemistry, South Kazakhstan Medical Academy, Shymkent, Kazakhstan
| | - Alexander A Voronov
- Department of Marketing and Trade Deals, Kuban State University, Krasnodar, Russia
| | - Artur A Maksaev
- Department of Management and Trade Deal, Krasnodar Cooperative Institute, Branch of Russian University of Cooperation, Krasnodar, Russia
| | - George D Kitas
- Departments of Rheumatology and Research and Development, Dudley Group NHS Foundation Trust (Teaching Trust of the University of Birmingham, UK), Russells Hall Hospital, Dudley, UK
- Centre for Epidemiology versus Arthritis, University of Manchester, Manchester, UK
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40
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Evaluating obesity publications: from bibliometrics to altmetrics. J Diabetes Metab Disord 2021; 20:391-405. [PMID: 34178847 DOI: 10.1007/s40200-021-00758-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Accepted: 01/27/2021] [Indexed: 10/21/2022]
Abstract
Purpose study the bibliometrics indicators of Iranian authors in the field of obesity and Correlation Comparison between conventional citation counts and altmetrics scores from 2005 to 2019. Methods The study uses bibliometric characteristics and altmetric analysis. Population consists of 5359 articles out of 8220 in the field of obesity which have specified Iran as the affiliated country and indexed by Scopus between 2005 to 2019. Citations was extracted from Scopus database and visualized bibliographic data by VOS viewer software version 17, as well as Altmetric Explorer was applied for altmetrics data. The spearman correlation was used to analyze distributions of altmetrics and citation. Statistical analysis was utilized using SPSS software version 17. Results According to altmetrics finding among 2221 articles, 90% of articles had focused on different social media. The major interaction of researches has taken place in Twitter respectively News and Facebook. a positive correlation (r = 0.31) has been found between citation and altmetrics. As a result, Institutes with the highest degree of co-authorship had the top 10 articles with the highest altmetrics score. Conclusion Depending on the degree of correlation suggest that altmetrics should be seen as complements to, rather than alternatives to citations. Altmetrics indicators will be very useful for health policymaking and aid them with identifying important factors driving altmetric events. Also it could help to reveal the hidden value of some medical papers. Our findings can help international communications for scientific collaboration at the level of business and health care industry, and emergency managers gain a comprehensive understanding of the research area.
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Linz D, Garcia R, Guerra F, Kommata V, Bollmann A, Duncker D. Twitter for professional use in electrophysiology: practical guide for #EPeeps. Europace 2021; 23:1192-1199. [PMID: 33829263 DOI: 10.1093/europace/euab048] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Accepted: 02/19/2021] [Indexed: 11/14/2022] Open
Abstract
Social media (SoMe) becomes more and more popular in the cardiological community. Among them, Twitter is an emerging and dynamic medium to connect, communicate and educate academic and clinical cardiologists. However, in contrast to traditional scientific communications, the content provided through SoMe is not peer-reviewed and may not necessarily always represent scientific evidence or may even be used to unjustifiably promote therapies for commercial purposes. For the unintended, this means of communication might be appear difficult to handle. This article aims to provide a practical guide on how to use Twitter efficiently for professional use to keep yourself up-to-date about new techniques, the latest study results and news presented at national or international conferences. Additionally, important limitations will be discussed.
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Affiliation(s)
- Dominik Linz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands.,Department of Cardiology, Radboud University Medical Centre, Nijmegen, the Netherlands.,Centre for Heart Rhythm Disorders, Royal Adelaide Hospital, University of Adelaide, Adelaide, Australia.,Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Rodrigue Garcia
- Department of Cardiology, Poitiers University Hospital, Poitiers, France.,Faculty of Medicine, University of Poitiers, Poitiers, France.,Department of Cardiology, The Heart Centre, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Federico Guerra
- Cardiology and Arrhythmology Clinic, University Hospital "Ospedali Riuniti Umberto I-Lancisi-Salesi", Ancona, Italy.,Department of Biomedical Sciences and Public Health, Marche Polytechnic University, Ancona, Italy
| | - Varvara Kommata
- Department of Cardiology, Uppsala University Hospital, Uppsala, Sweden.,Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Andreas Bollmann
- Department of Electrophysiology, Heart Center Leipzig at University of Leipzig, Leipzig, Germany.,Leipzig Heart Institute, Leipzig, Germany
| | - David Duncker
- Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, Carl-Neuberg-Straße 1, D-30625 Hannover, Germany
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Patel VM, Haunschild R, Bornmann L, Garas G. A call for governments to pause Twitter censorship: using Twitter data as social-spatial sensors of COVID-19/SARS-CoV-2 research diffusion. Scientometrics 2021; 126:3193-3207. [PMID: 33678927 PMCID: PMC7917540 DOI: 10.1007/s11192-020-03843-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 12/15/2020] [Indexed: 11/25/2022]
Abstract
In this study we determined whether Twitter data can be used as social-spatial sensors to show how research on COVID-19/SARS-CoV-2 diffuses through the population to reach the people that are affected by the disease. We performed a cross-sectional bibliometric analysis between 23rd March and 14th April 2020. Three sources of data were used: (1) deaths per number of population for COVID-19/SARS-CoV-2 retrieved from John Hopkins University and Worldometer, (2) publications related to COVID-19/SARS-CoV-2 retrieved from World Health Organisation COVID-19 database, and (3) tweets of these publications retrieved from Altmetric.com and Twitter. In the analysis, the number of publications used was 1761, and number of tweets used was 751,068. Mapping of worldwide data illustrated that high Twitter activity was related to high numbers of COVID-19/SARS-CoV-2 deaths, with tweets inversely weighted with number of publications. Regression models of worldwide data showed a positive correlation between the national deaths per number of population and tweets when holding number of publications constant (coefficient 0.0285, S.E. 0.0003, p < 0.001). Twitter can play a crucial role in the rapid research response during the COVID-19/SARS-CoV-2 pandemic, especially to spread research with prompt public scrutiny. Governments are urged to pause censorship of social media platforms to support the scientific community’s fight against COVID-19/SARS-CoV-2.
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Affiliation(s)
- Vanash M Patel
- Department of Surgery and Cancer, Imperial College London, 10th Floor, Queen Elizabeth the Queen Mother Wing, St. Mary's Hospital, London, W2 1NY UK.,Department of Colorectal Surgery, West Hertfordshire NHS Trust, Watford General Hospital, Vicarage Road, Watford, Hertfordshire, WD18 0HB UK
| | - Robin Haunschild
- Max Planck Institute for Solid State Research, Heisenbergstraße 1, 70569 Stuttgart, Germany
| | - Lutz Bornmann
- Division for Science and Innovation Studies, Administrative Headquarters of the Max Planck Society, Hofgartenstr. 8, 80539 Munich, Germany
| | - George Garas
- Department of Surgery and Cancer, Imperial College London, 10th Floor, Queen Elizabeth the Queen Mother Wing, St. Mary's Hospital, London, W2 1NY UK
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Banshal SK, Singh VK, Muhuri PK. Can altmetric mentions predict later citations? A test of validity on data from ResearchGate and three social media platforms. ONLINE INFORMATION REVIEW 2021. [DOI: 10.1108/oir-11-2019-0364] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeThe main purpose of this study is to explore and validate the question “whether altmetric mentions can predict citations to scholarly articles”. The paper attempts to explore the nature and degree of correlation between altmetrics (from ResearchGate and three social media platforms) and citations.Design/methodology/approachA large size data sample of scholarly articles published from India for the year 2016 is obtained from the Web of Science database and the corresponding altmetric data are obtained from ResearchGate and three social media platforms (Twitter, Facebook and blog through Altmetric.com aggregator). Correlations are computed between early altmetric mentions and later citation counts, for data grouped in different disciplinary groups.FindingsResults show that the correlation between altmetric mentions and citation counts are positive, but weak. Correlations are relatively higher in the case of data from ResearchGate as compared to the data from the three social media platforms. Further, significant disciplinary differences are observed in the degree of correlations between altmetrics and citations.Research limitations/implicationsThe results support the idea that altmetrics do not necessarily reflect the same kind of impact as citations. However, articles that get higher altmetric attention early may actually have a slight citation advantage. Further, altmetrics from academic social networks like ResearchGate are more correlated with citations, as compared to social media platforms.Originality/valueThe paper has novelty in two respects. First, it takes altmetric data for a window of about 1–1.5 years after the article publication and citation counts for a longer citation window of about 3–4 years after the publication of article. Second, it is one of the first studies to analyze data from the ResearchGate platform, a popular academic social network, to understand the type and degree of correlations.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-11-2019-0364
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Palamar JJ, Strain EC. News and social media coverage is associated with more downloads and citations of manuscripts that focus on substance use. Drug Alcohol Depend 2021; 218:108357. [PMID: 33317951 PMCID: PMC7750283 DOI: 10.1016/j.drugalcdep.2020.108357] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 10/04/2020] [Accepted: 10/06/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND A variety of substance use-related topics are discussed in the public discourse; however, it is unknown how public discussion of published substance-related findings relates to manuscript downloads and citations. This manuscript examines how traditional and social media coverage of published findings about substance use affects downloads and scientific citations. METHODS Altmetric and bibliographic information was obtained for manuscripts published in Drug and Alcohol Dependence between 2018 and 2019 (n = 943). Associations were examined between news and social media coverage (i.e., Twitter, Facebook) in relation to number of manuscript downloads and number of citations. This was done in a bivariable manner and in a multivariable manner examining correlates of being in the top 10th percentile of downloads and citations. RESULTS 73.3 % of articles were shared on Twitter, 23.6 % were shared on Facebook, and 13.9 % were covered in news sources (with 4.0 % receiving major media coverage). Epidemiology papers were among the most covered in the news, and e-cigarette review papers were among the most downloaded. News and social media coverage were positively associated with number of downloads and citations in bivariable models and with achieving the top 10 % of downloads and citations in multivariable models (ps < .001). Publishing a press release was associated with higher likelihood of receiving additional news coverage (aPR = 7.85, 95 % CI: 5.15-11.97). CONCLUSIONS Traditional and social media coverage of manuscripts focusing on substance use are associated with more downloads and citations. Researchers should consider sharing findings not only to increase downloads and citations but also to educate the general public.
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Affiliation(s)
- Joseph J. Palamar
- New York University School of Medicine, Department of Population Health, 180 Madison Avenue, New York, NY 10016,Center for Drug Use and HIV/HCV Research, New York University College of Global Public Health, 665 Broadway, New York, NY 10012
| | - Eric C. Strain
- Johns Hopkins University School of Medicine, Department of Psychiatry and Behavioral Sciences, Baltimore, MD, 21224
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Hou J, Li H, Zhang Y. Identifying the princes base on Altmetrics: An awakening mechanism of sleeping beauties from the perspective of social media. PLoS One 2020; 15:e0241772. [PMID: 33237932 PMCID: PMC7688316 DOI: 10.1371/journal.pone.0241772] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 10/21/2020] [Indexed: 11/20/2022] Open
Abstract
In science, sleeping beauties (SBs) denotes a special phenomenon of the diffusion of scientific knowledge based on citation trajectories, the awakening of which is also measured through changes in the citations index. However, the rapid advancement of social media has altered the mode of scientific communication and knowledge diffusion. This study aims to re-identify SBs and its Prince from the perspective of comprehensive indicators, which involves the analysis of Altmetrics indexes and Citation index, and investigate the awakening mechanism of A-SB to supplement the research on the awakening mechanism of SBs. By combining Ab index, we redefined the Prince, which makes A-SB receive high attention after a long Sleeping period and reflects the most prominent academic or social behavior that awakens and sustains the Awakening of A-SB. Then we conducted empirical research on the retrieved PLOS Biology collection and examined Prince after identifying the A-SB. The analysis and summary of the characteristics of the identified A-SB and Prince revealed the SBs’ awakening mechanism under the comprehensive trajectory based on Altmetrics from the three dimensions of the influence between the indicators, the overall evolution trajectory of A-SB, and literature bibliometric attributes. In the trajectory of Delayed Recognition stage of A-SB, we define the Dogsleep of SBs, which mirrors that the instability of the Sleeping of SBs will generate a specific negative impact on Prince of A-SB and Awakening intensity. Besides, the literature bibliometric attributes cannot reflect the tendency of users to read academic papers, which again proves that the traditional citation index cannot be neglected in the awakening mechanism of A-SB. Overall, this study demonstrates the addition of the Altmetrics indexes as a useful complement, illustrating the inheritance and connection between the SBs based on the comprehensive trajectory and the SBs based on the citation diffusion trajectory.
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Affiliation(s)
- Jianhua Hou
- School of Information Management, Sun Yat-sen University, Panyu District, Guangzhou, Guangdong, China
| | - Hao Li
- School of Information Management, Sun Yat-sen University, Panyu District, Guangzhou, Guangdong, China
| | - Yang Zhang
- School of Information Management, Sun Yat-sen University, Panyu District, Guangzhou, Guangdong, China
- * E-mail:
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Bornmann L, Haunschild R, Patel VM. Are papers addressing certain diseases perceived where these diseases are prevalent? The proposal to use Twitter data as social-spatial sensors. PLoS One 2020; 15:e0242550. [PMID: 33216816 PMCID: PMC7678968 DOI: 10.1371/journal.pone.0242550] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 11/05/2020] [Indexed: 11/18/2022] Open
Abstract
We propose to use Twitter data as social-spatial sensors. This study deals with the question whether research papers on certain diseases are perceived by people in regions (worldwide) that are especially concerned by these diseases. Since (some) Twitter data contain location information, it is possible to spatially map the activity of Twitter users referring to certain papers (e.g., dealing with tuberculosis). The resulting maps reveal whether heavy activity on Twitter is correlated with large numbers of people having certain diseases. In this study, we focus on tuberculosis, human immunodeficiency virus (HIV), and malaria, since the World Health Organization ranks these diseases as the top three causes of death worldwide by a single infectious agent. The results of the social-spatial Twitter maps (and additionally performed regression models) reveal the usefulness of the proposed sensor approach. One receives an impression of how research papers on the diseases have been perceived by people in regions that are especially concerned by these diseases. Our study demonstrates a promising approach for using Twitter data for research evaluation purposes beyond simple counting of tweets.
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Affiliation(s)
- Lutz Bornmann
- Division for Science and Innovation Studies, Administrative Headquarters of the Max Planck Society, Munich, Germany
- * E-mail:
| | - Robin Haunschild
- Max Planck Institute for Solid State Research, Stuttgart, Germany
| | - Vanash M. Patel
- Department of Surgery and Cancer, Queen Elizabeth the Queen Mother Wing, St. Mary’s Hospital, London, United Kingdom
- Department of Colorectal Surgery, West Hertfordshire NHS Trust, Watford General Hospital, Watford, Hertfordshire, United Kingdom
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47
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Hong JH, Yoon DY, Lim KJ, Moon JY, Baek S, Seo YL, Yun EJ. Characteristics of the Most Cited, Most Downloaded, and Most Mentioned Articles in General Medical Journals: A Comparative Bibliometric Analysis. Healthcare (Basel) 2020; 8:healthcare8040492. [PMID: 33217947 PMCID: PMC7711934 DOI: 10.3390/healthcare8040492] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2020] [Revised: 11/13/2020] [Accepted: 11/16/2020] [Indexed: 12/18/2022] Open
Abstract
We compared the characteristics of the most cited, most downloaded, and most mentioned (the highest Altmetric Attention Score) articles published in general medical journals. We identified the 640 most frequently cited, 662 most frequently downloaded, and 652 most mentioned articles from 48 general medical journals. A comparison was made of the following characteristics of articles in the most cited, most downloaded, and most mentioned articles: medical specialty, publication type, country of origin, year of publication, and accessibility. There was only a 2.5% overlap in these three groups. Original articles were the more frequent among the most mentioned articles, whereas reviews, case reports, and guidelines/consensus statements were more frequent among the most downloaded articles. The most cited articles were more frequently published in 2010 and before, whereas the most downloaded articles were published in 2017−2018. The most mentioned articles were more frequently open-access articles, compared to the most downloaded articles. The most cited were more frequently older, the most downloaded were more frequently recent and educational, and the most mentioned were more frequently original and open-access articles. The results of our study may provide insights into various measures of article impact.
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Dehdarirad T. Could early tweet counts predict later citation counts? A gender study in Life Sciences and Biomedicine (2014-2016). PLoS One 2020; 15:e0241723. [PMID: 33137147 PMCID: PMC7605688 DOI: 10.1371/journal.pone.0241723] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 10/17/2020] [Indexed: 11/21/2022] Open
Abstract
In this study, it was investigated whether early tweets counts could differentially benefit female and male (first, last) authors in terms of the later citation counts received. The data for this study comprised 47,961 articles in the research area of Life Sciences & Biomedicine from 2014-2016, retrieved from Web of Science's Medline. For each article, the number of received citations per year was downloaded from WOS, while the number of received tweets per year was obtained from PlumX. Using the hurdle regression model, I compared the number of received citations by female and male (first, last) authored papers and then I investigated whether early tweet counts could predict the later citation counts received by female and male (first, last) authored papers. In the regression models, I controlled for several important factors that were investigated in previous research in relation to citation counts, gender or Altmetrics. These included journal impact (SNIP), number of authors, open access, research funding, topic of an article, international collaboration, lay summary, F1000 Score and mega journal. The findings showed that the percentage of papers with male authors in first or last authorship positions was higher than that for female authors. However, female first and last-authored papers had a small but significant citation advantage of 4.7% and 5.5% compared to male-authored papers. The findings also showed that irrespective of whether the factors were included in regression models or not, early tweet counts had a weak positive and significant association with the later citations counts (3.3%) and the probability of a paper being cited (21.1%). Regarding gender, the findings showed that when all variables were controlled, female (first, last) authored papers had a small citation advantage of 3.7% and 4.2% in comparison to the male authored papers for the same number of tweets.
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Affiliation(s)
- Tahereh Dehdarirad
- Department of Communication and Learning in Science, Chalmers University of Technology, Gothenburg, Sweden
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Drongstrup D, Malik S, Aljohani NR, Alelyani S, Safder I, Hassan SU. Can social media usage of scientific literature predict journal indices of AJG, SNIP and JCR? An altmetric study of economics. Scientometrics 2020. [DOI: 10.1007/s11192-020-03613-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Gallego-Cuiñas A, Romero-Frías E, Arroyo-Machado W. Independent publishers and social networks in the 21st century: the balance of power in the transatlantic Spanish-language book market. ONLINE INFORMATION REVIEW 2020. [DOI: 10.1108/oir-10-2019-0342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeThe present paper uses Twitter to analyze the current state of the worldwide, Spanish-language, independent publishing market. The main purposes are to determine whether certain Latin American Spanish-language independent publishers function as gatekeepers of world literature and to analyze the geopolitical structure of this global market, addressing both the Europe-America dialectic and neocolonial practices.Design/methodology/approachAfter selecting the sample of publishers, the authors conducted a search for their Twitter profiles and located 131; they then downloaded data from the corresponding Twitter APIs. Finally, they applied social network analysis to study the presence of and interaction between the sample of independent publishers on this social media.FindingsThe results provide data-based evidence supporting the hypothesis of some literary critics who suggest that in Latin America, certain publishers act as gatekeepers to the mainstream book market. Therefore, Twitter could be considered a valid source of information to address the independent book market in Spanish. By extension, this approach could be applied to other cultural industries in which small and medium-sized agents develop a digital presence in social media.Originality/valueThis paper combines social network analysis and literary criticism to provide new evidence about the Spanish-language book market. It helps validate the aforementioned hypothesis proposed by literary critics and opens up new paths along which to pursue an interpretative, comparative analysis.
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