Do Altmetrics Work? Twitter and Ten Other Social Web Services

被引:615
作者
Thelwall, Mike [1 ]
Haustein, Stefanie [2 ,3 ]
Lariviere, Vincent [2 ,4 ]
Sugimoto, Cassidy R. [5 ]
机构
[1] Wolverhampton Univ, Sch Technol, Wolverhampton WV1 1DJ, W Midlands, England
[2] Univ Montreal, Ecole Bibliotheecon & Sci Informat, Montreal, PQ, Canada
[3] Sci Metrix Inc, Montreal, PQ, Canada
[4] Univ Quebec, Observ Sci & Technol, Ctr Interuniv Rech Sci & Technol, Montreal, PQ H3C 3P8, Canada
[5] Indiana Univ, Sch Informat & Lib Sci, Bloomington, IN USA
来源
PLOS ONE | 2013年 / 8卷 / 05期
基金
美国国家科学基金会; 英国艺术与人文研究理事会;
关键词
CITATION ANALYSIS; IMPACT; METRICS; SCIENCE; LEVEL;
D O I
10.1371/journal.pone.0064841
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Altmetric measurements derived from the social web are increasingly advocated and used as early indicators of article impact and usefulness. Nevertheless, there is a lack of systematic scientific evidence that altmetrics are valid proxies of either impact or utility although a few case studies have reported medium correlations between specific altmetrics and citation rates for individual journals or fields. To fill this gap, this study compares 11 altmetrics with Web of Science citations for 76 to 208,739 PubMed articles with at least one altmetric mention in each case and up to 1,891 journals per metric. It also introduces a simple sign test to overcome biases caused by different citation and usage windows. Statistically significant associations were found between higher metric scores and higher citations for articles with positive altmetric scores in all cases with sufficient evidence (Twitter, Facebook wall posts, research highlights, blogs, mainstream media and forums) except perhaps for Google+ posts. Evidence was insufficient for LinkedIn, Pinterest, question and answer sites, and Reddit, and no conclusions should be drawn about articles with zero altmetric scores or the strength of any correlation between altmetrics and citations. Nevertheless, comparisons between citations and metric values for articles published at different times, even within the same year, can remove or reverse this association and so publishers and scientometricians should consider the effect of time when using altmetrics to rank articles. Finally, the coverage of all the altmetrics except for Twitter seems to be low and so it is not clear if they are prevalent enough to be useful in practice.
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