WEB INDICATORS FOR RESEARCH EVALUATION. PART 2: SOCIAL MEDIA METRICS

被引:64
作者
Thelwall, Mike [1 ]
Kousha, Kayvan [1 ]
机构
[1] Wolverhampton Univ, Stat Cybermetr Res Grp, Sch Math & Comp Sci, Wolverhampton WV1 1LY, W Midlands, England
来源
PROFESIONAL DE LA INFORMACION | 2015年 / 24卷 / 05期
关键词
Altmetrics; Alternative metrics; Alternative indicators; Citation analysis; Web indicators; Webometrics; Scientometrics; Social media metrics; Twitter; Mendeley; IMPACT; ALTMETRICS; TWITTER; TWEETS; PUBLICATIONS; QUALITY; COUNTS; TRENDS;
D O I
10.3145/epi.2015.sep.09
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
This literature review assesses indicators derived from social media sources, including both general and academic sites. Such indicators have been termed altmetrics, influmetrics, social media metrics, or a type of webometric, and have recently been commercialised by a number of companies and employed by some publishers and university administrators. The social media metrics analysed here derive mainly from Twitter, Facebook, Google+, F1000, Mendeley, ResearchGate, and Academia. edu. They have the apparent potential to deliver fast, free indicators of the wider societal impact of research, or of different types of academic impacts, complementing academic impact indicators from traditional citation indexes. Although it is unwise to employ them in formal evaluations with stakeholders, due to their susceptibility to gaming and lack of real evidence that they reflect wider research impacts, they are useful for formative evaluations and to investigate science itself. Mendeley reader counts are particularly promising.
引用
收藏
页码:607 / 620
页数:14
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