Metrics of activity in social networks are correlated with traditional metrics of scientific impact in endocrinology journals

Muñoz-Velandia, Óscar Mauricio; Fernández-Ávila, Daniel G.; Patiño-Hernández, Daniela; Gómez, Ana María

doi:10.1016/j.dsx.2019.06.018

Cited by 16 publications

(9 citation statements)

References 14 publications

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“…As such, concordance was found despite the fact that social media may be manipulated, for instance through fake followers. Thus, the latter reinforces the hypothesis that both types of metrics should be employed in a complementary fashion, instead of replacing one with another [10]. The joint use of alternative and traditional metrics may be useful for journals in order to generate strategies aiming to increase their audience, as well as for researchers when deciding about the best option of submitting their manuscripts.…”

Section: Discussionsupporting

confidence: 62%

Social Networks and Traditional Metrics of Impact in Pulmonary Medicine Journals: A Correlation Study

Patiño-Hernández

Fernández-Ávila

Celis-Preciado

et al. 2020

Advances in Respiratory Medicine

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Introduction: The Scimago Journal Rank (SJR) impact factor is extensively used. However, as the Internet has become widely available, new metrics are coming into play. Our research aims to determine whether a correlation between the SJR impact factor and metrics reflecting social media activity does exist. Materials and methods: We have used pulmonary medicine journals indexed in the SJR. Variables of social network usage have been extracted from verified accounts. Bivariate analyses have been performed with the Mann-Whitney U tests, the correlation between social media-derived variables and the SJR impact factor have been assessed with the Spearman correlation coefficient. Results are presented before and after adjustment for the years since the creation of the accounts. Results: From 130 journals, 38 had at least one social network account, Twitter being the most commonly used (22.85 %). The H index was higher in journals with social network accounts (median 60 vs 17; p < 0.01). The global correlation between the SJR and the number of followers on Twitter revealed moderate agreement (r = 0.46; p < 0.01), which was excellent in open access journals (r s = 0.90; p < 0.05). Conclusions: The use of social networks is directly correlated with traditional indicators of scientific impact. The joint use of alternative and traditional metrics may be useful for journals in order to generate strategies aiming to increase their audience, as well as for researchers when deciding about the best option of disseminating their articles.

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Section: Discussionsupporting

confidence: 62%

Social Networks and Traditional Metrics of Impact in Pulmonary Medicine Journals: A Correlation Study

Patiño-Hernández

Fernández-Ávila

Celis-Preciado

et al. 2020

Advances in Respiratory Medicine

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“…The percentage of stroke journals having a Twitter account and stroke articles to be mentioned in this platform is comparably higher than that seen in other medical specialties. 3–5,7 Similarly, Twitter activity of stroke articles appears to be superior to articles of other areas in medicine as we found the majority (79%) of stroke articles to be mentioned in Twitter. 8 This may be explained by the amount and diversity of practitioners involved in stroke care.…”

Section: Discussionmentioning

confidence: 67%

“…Relationship between altmetrics with traditional metrics, namely citation rates, have been conflicting but mainly toward a positive association between the both. 3–6…”

Section: Introductionmentioning

confidence: 99%

The Twitter factor: How does Twitter impact #Stroke journals and citation rates?

Sousa

Alves

Sargento-Freitas

et al. 2022

International Journal of Stroke

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BACKGROUND Twitter is a social media platform popularly used by health practitioners, a trend that has been followed by medical journals. The impact of Twitter in bibliometrics of stroke-related literature is yet to be determined. AIMS We aimed to qualitatively assess the usage of Twitter by stroke journals and study the relationship between Twitter activity and citation rates of stroke articles. METHODS We used Journal Citation Reports to identify stroke journals. We collected the 2021 Impact Factor (IF) and the top 50 articles contributing to each journal IF. Relevant metrics were collected through Twitonomy, Altmetric and Web of Science. The association between Twitter activity and citation rates was tested by a negative binomial regression model adjusted to journal’s IF. A bivariate correlation and a log-linear regression model adjusted to journal’s IF tested the relationship between number of tweets, tweeters and the number of citations. RESULTS We collected 450 articles across 9 stroke-dedicated journals, five of which had a Twitter account. Only 95 (21%) articles had no Twitter mentions. The median number of citations in articles with versus without Twitter activity was 19 (10-39) vs 11(7-17) (P<0.001). Twitter activity was associated with higher citation rates controlling for the IF (OR: 2.7, 95%CI 2.12-3.38, P<0.001). We found number of tweets to be predicted by the number of citations controlling for the IF (B=0.33, 95%CI 0.29-0.40, β=0.54, P<0.001). CONCLUSIONS Tweeted stroke articles tend to have higher citation rates which can be predicted by the number of tweets.

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“…Studies that compared journals with and without a Twitter account showed that Twitter has a higher impact factor (n=4) [ 27 , 29 , 32 , 34 ], an increase in Altmetric attention scores (n=1) [ 39 ], H-index scores (n=3) [ 21 , 31 , 35 ], SCImago Journal Rank (n=4) [ 21 , 31 , 35 , 40 ], and receive more citations (n=1) and tweets [ 12 ].…”

Section: Resultsmentioning

confidence: 99%

The Use of Twitter by Medical Journals: Systematic Review of the Literature

Erskine¹,

Hendricks²

2021

J Med Internet Res

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Background Medical journals use Twitter to engage and disseminate their research articles and implement a range of strategies to maximize reach and impact. Objective This study aims to systematically review the literature to synthesize and describe the different Twitter strategies used by medical journals and their effectiveness on journal impact and readership metrics. Methods A systematic search of the literature before February 2020 in four electronic databases (PubMed, Web of Science, Scopus, and ScienceDirect) was conducted. Articles were reviewed using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) guidelines. Results The search identified 44 original research studies that evaluated Twitter strategies implemented by medical journals and analyzed the relationship between Twitter metrics and alternative and citation-based metrics. The key findings suggest that promoting publications on Twitter improves citation-based and alternative metrics for academic medical journals. Moreover, implementing different Twitter strategies maximizes the amount of attention that publications and journals receive. The four key Twitter strategies implemented by many medical journals are tweeting the title and link of the article, infographics, podcasts, and hosting monthly internet-based journal clubs. Each strategy was successful in promoting the publications. However, different metrics were used to measure success. Conclusions Four key Twitter strategies are implemented by medical journals: tweeting the title and link of the article, infographics, podcasts, and hosting monthly internet-based journal clubs. In this review, each strategy was successful in promoting publications but used different metrics to measure success. Thus, it is difficult to conclude which strategy is most effective. In addition, the four strategies have different costs and effects on dissemination and readership. We recommend that journals and researchers incorporate a combination of Twitter strategies to maximize research impact and capture audiences with a variety of learning methods.

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Metrics of activity in social networks are correlated with traditional metrics of scientific impact in endocrinology journals

Cited by 16 publications

References 14 publications

Social Networks and Traditional Metrics of Impact in Pulmonary Medicine Journals: A Correlation Study

Social Networks and Traditional Metrics of Impact in Pulmonary Medicine Journals: A Correlation Study

The Twitter factor: How does Twitter impact #Stroke journals and citation rates?

The Use of Twitter by Medical Journals: Systematic Review of the Literature

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