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| Content Provider | Springer Nature Link |
|---|---|
| Author | Erdt, Mojisola Nagarajan, Aarthy Sin, Sei Ching Joanna Theng, Yin Leng |
| Copyright Year | 2016 |
| Abstract | Altmetrics is an emergent research area whereby social media is applied as a source of metrics to assess scholarly impact. In the last few years, the interest in altmetrics has grown, giving rise to many questions regarding their potential benefits and challenges. This paper aims to address some of these questions. First, we provide an overview of the altmetrics landscape, comparing tool features, social media data sources, and social media events provided by altmetric aggregators. Second, we conduct a systematic review of the altmetrics literature. A total of 172 articles were analysed, revealing a steady rise in altmetrics research since 2011. Third, we analyse the results of over 80 studies from the altmetrics literature on two major research topics: cross-metric validation and coverage of altmetrics. An aggregated percentage coverage across studies on 11 data sources shows that Mendeley has the highest coverage of about 59 % across 15 studies. A meta-analysis across more than 40 cross-metric validation studies shows overall a weak correlation (ranging from 0.08 to 0.5) between altmetrics and citation counts, confirming that altmetrics do indeed measure a different kind of research impact, thus acting as a complement rather than a substitute to traditional metrics. Finally, we highlight open challenges and issues facing altmetrics and discuss future research areas. |
| Starting Page | 1117 |
| Ending Page | 1166 |
| Page Count | 50 |
| File Format | |
| ISSN | 01389130 |
| Journal | Scientometrics |
| Volume Number | 109 |
| Issue Number | 2 |
| e-ISSN | 15882861 |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2016-08-10 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Altmetrics Literature review Social media Meta-analysis Information Storage and Retrieval Library Science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Library and Information Sciences Computer Science Applications |
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