心血管期刊的社交媒体:现状综述
Social media for cardiovascular journals: State of the art review.
作者信息
Brown Sherry-Ann, Campbell Courtney, Fradley Michael, Volgman Annabelle Santos
机构信息
Division of Cardiovascular Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
Cardio-Oncology Center of Excellence, Washington University in St. Louis, St. Louis, MO, USA.
出版信息
Am Heart J Plus. 2021 Aug;8. doi: 10.1016/j.ahjo.2021.100041. Epub 2021 Aug 4.
In cardiovascular (CV) medicine, the use of social media (SoMe) has increased the dissemination of scientific knowledge, including the sharing of scientific journal articles. With the rapid growth of online methods for communicating scientific research, the critical question is whether online attention correlates with citations in academic journal articles. Traditionally, the performance of a scientific journal article has been determined by the number of times it has been cited. The impact factor and the number of citations in peer-reviewed journals are widely accepted measures of scientific impact. Social media platforms such as Twitter (Twitter.com) enable the development of novel article- or journal-level metrics for assessing effect and influence. Indeed, "alternative metrics" for journal article impact have been proposed, with the most frequently used being the Altmetric Attention Score (AAS; Altmetric.com). The relationship between these new metrics and established indicators such as citations has not been thoroughly investigated. We summarize numerous studies investigating associations between social media posts about journal articles and journal article citations. We then describe our own journal's social media strategy in light of these findings.
在心血管(CV)医学领域,社交媒体(SoMe)的使用增加了科学知识的传播,包括科学期刊文章的分享。随着科学研究在线交流方式的迅速发展,关键问题是在线关注度是否与学术期刊文章中的引用相关。传统上,一篇科学期刊文章的表现是由其被引用的次数决定的。影响因子和同行评审期刊中的引用次数是广泛认可的科学影响力衡量标准。诸如推特(Twitter.com)之类的社交媒体平台有助于开发用于评估效果和影响力的新颖的文章或期刊层面的指标。事实上,已经有人提出了期刊文章影响力的“替代指标”,其中最常用的是Altmetric关注度得分(AAS;Altmetric.com)。这些新指标与诸如引用次数等既定指标之间的关系尚未得到充分研究。我们总结了众多调查期刊文章的社交媒体帖子与期刊文章引用之间关联的研究。然后,我们根据这些发现描述了我们自己期刊的社交媒体策略。