University of Health Sciences, Mehmet Akif Inan Training and Research Hospital, Dept of Emergency, Sanlıurfa, Turkey.
University of Health Sciences, Kanuni Sultan Suleyman Training and Research Hospital, Dept of Emergency, Istanbul, Turkey.
Am J Emerg Med. 2022 Aug;58:33-38. doi: 10.1016/j.ajem.2022.05.027. Epub 2022 May 19.
Twitter may be used in disseminating scientific information that can be measured via citations by traditional systems. We aimed to investigate the relationship between Twitter mentions, traditional citations including Google Scholar and Scopus, and the metric value of Altmetric for articles published in emergency medicine journals.
Articles published in emergency medicine journals between January 2018 and June 2018 were retrospectively analyzed in February 2021. Journals included with an impact factor of >1 and indexed in Q1. Metric data about citations in Google Scholar and Scopus, the metric value of the Altmetric system, and Twitter mentions were obtained.
There were 502 articles published in different seven emergency medicine journals. Fifty-four articles (10.8%) were never cited in Google Scholar or Scopus. There were 79 articles (15.7%) without Twitter mention. Twitter mentions as a tweet or no tweet impacted the number of articles with citation (p > 0.05). The number of citations per article was significantly higher in articles with Twitter mentions (p = 0.002 for Google Scholar citations, p = 0.005 for Scopus citations). Altmetric cited articles were significantly higher for articles with Twitter mentions (p < 0.001). There were significant positive correlations between the number of Twitter mentions and citations in Scopus (r = 0.30, p < 0.001), in both Google Scholar and Scopus (r = 0.19, p < 0.001), and in Altmetrics (r = 0.852, p < 0.001).
There were positive correlations between numbers of Twitter mentions, traditional citations, including Google Scholar and Scopus, and metric values of the Altmetric system. This finding supports that increased social media citations are associated with increased dissemination and disclosure of publications.
推特可能被用于传播科学信息，这些信息可以通过传统系统的引文来衡量。我们旨在研究推特提及、包括谷歌学术和 Scopus 在内的传统引文，以及为发表在急诊医学期刊上的文章提供的 Altmetric 指标值之间的关系。
2021 年 2 月，回顾性分析了 2018 年 1 月至 6 月期间发表在急诊医学期刊上的文章。纳入的期刊影响因子>1，且在 Q1 索引中。获得了谷歌学术和 Scopus 中的引文指标数据、Altmetric 系统的指标值和推特提及数据。
共有 502 篇文章发表在不同的七种急诊医学期刊上。有 54 篇文章（10.8%）从未在谷歌学术或 Scopus 中被引用。有 79 篇文章（15.7%）没有推特提及。有或没有推特提及作为推文并不影响有引文的文章数量（p > 0.05）。有推特提及的文章的引文数量明显更高（谷歌学术引文 p = 0.002，Scopus 引文 p = 0.005）。有推特提及的 Altmetric 引用文章明显更高（p < 0.001）。推特提及数量与 Scopus 引文（r = 0.30，p < 0.001）、谷歌学术和 Scopus 引文（r = 0.19，p < 0.001）和 Altmetrics 引文（r = 0.852，p < 0.001）呈显著正相关。
推特提及数量、包括谷歌学术和 Scopus 在内的传统引文与 Altmetric 系统的指标值之间存在正相关。这一发现支持了增加社交媒体引文与增加出版物的传播和披露有关。
