探索利用社交媒体衡量期刊文章的影响力。
Exploring the use of social media to measure journal article impact.
作者信息
Evans Perry, Krauthammer Michael
机构信息
Department of Pathology, Yale University School of Medicine, New Haven, CT, USA.
出版信息
AMIA Annu Symp Proc. 2011;2011:374-81. Epub 2011 Oct 22.
Science blogs, Twitter commentary, and comments on journal websites represent an immediate response to journal articles, and may help in identifying relevant publications. However, the use of these media for establishing paper impact is not well studied. Using Wikipedia as a proxy for other social media, we explore the correlation between inclusion of a journal article in Wikipedia, and article impact as measured by citation count. We start by cataloging features of PubMed articles cited in Wikipedia. We find that Wikipedia pages referencing the most journal articles are about disorders and diseases, while the most referenced articles in Wikipedia are about genomics. We note that journal articles in Wikipedia have significantly higher citation counts than an equivalent random article subset. We also observe that articles are included in Wikipedia soon after publication. Our data suggest that social media may represent a largely untapped post-publication review resource for assessing paper impact.
科学博客、推特评论以及期刊网站上的评论代表了对期刊文章的即时反应，可能有助于识别相关出版物。然而，利用这些媒介来确定论文影响力的研究还不够充分。我们以维基百科作为其他社交媒体的代表，探讨维基百科中收录的期刊文章与以引用次数衡量的文章影响力之间的相关性。我们首先对维基百科中引用的医学期刊数据库（PubMed）文章的特征进行编目。我们发现，维基百科中引用期刊文章最多的页面是关于疾病的，而维基百科中被引用最多的文章是关于基因组学的。我们注意到，维基百科中的期刊文章的引用次数明显高于同等的随机文章子集。我们还观察到，文章在发表后不久就被收录进维基百科。我们的数据表明，社交媒体可能是评估论文影响力的一个很大程度上未被开发的发表后评审资源。
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