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    ResearchGate Articles: Age, Discipline, Audience Size and Impact

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    Authors
    Thelwall, Mike
    Kousha, Kayvan
    Issue Date
    2016-03-28
    
    Metadata
    Show full item record
    Abstract
    The large multidisciplinary academic social web site ResearchGate aims to help academics to connect with each other and to publicise their work. Despite its popularity, little is known about the age and discipline of the articles uploaded and viewed in the site and whether publication statistics from the site could be useful impact indicators. In response, this article assesses samples of ResearchGate articles uploaded at specific dates, comparing their views in the site to their Mendeley readers and Scopus-indexed citations. This analysis shows that ResearchGate is dominated by recent articles, which attract about three times as many views as older articles. ResearchGate has uneven coverage of scholarship, with the arts and humanities, health professions, and decision sciences poorly represented and some fields receiving twice as many views per article as others. View counts for uploaded articles have low to moderate positive correlations with both Scopus citations and Mendeley readers, which is consistent with them tending to reflect a wider audience than Scopus-publishing scholars. Hence, for articles uploaded to the site, view counts may give a genuinely new audience indicator.
    Citation
    Thelwall, M. and Kousha, K. (2017), ResearchGate articles: Age, discipline, audience size, and impact. Journal of the Association for Information Science and Technology, 68: 468-479. https://doi.org/10.1002/asi.23675
    Publisher
    Wiley-Blackwell
    Journal
    Journal of the Association for Information Science and Technology
    URI
    http://hdl.handle.net/2436/609261
    Additional Links
    http://onlinelibrary.wiley.com/doi/10.1002/asi.23675/abstract
    Type
    Journal article
    Language
    en
    Description
    This is an accepted manuscript of an article published by Association for Information Science & Technology in Journal of the Association for Information Science and Technology on 28/03/2016, available online: https://doi.org/10.1002/asi.23675 The accepted version of the publication may differ from the final published version.
    ISSN
    2330-1643
    Sponsors
    Self-funded
    Collections
    Research Institute in Information and Language Processing

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