Posted, visited, exported: Altmetrics in the social tagging system BibSonomy
作者：
Highlights：
• We examine various usage features of a scholarly bookmarking system as indicators for impact of publications.
• Users of a scholarly bookmarking system are biased towards using publications with higher (citation) impact.
• Usage metrics do not only correlate with total citation counts, but also with counts of citations in the future.
• A bookmarking system's most inherent feature – tagging – is suitable for identifying topic subsets of publications where usage and future citations exhibit higher correlations.
• The traces of user behavior, found in a web systems logs, bear predictive power over future citations.
摘要
Highlights•We examine various usage features of a scholarly bookmarking system as indicators for impact of publications.•Users of a scholarly bookmarking system are biased towards using publications with higher (citation) impact.•Usage metrics do not only correlate with total citation counts, but also with counts of citations in the future.•A bookmarking system's most inherent feature – tagging – is suitable for identifying topic subsets of publications where usage and future citations exhibit higher correlations.•The traces of user behavior, found in a web systems logs, bear predictive power over future citations.
论文关键词：Altmetrics,Scholarly impact,Social bookmarking,Collaborative tagging
论文评审过程：Received 9 July 2015, Revised 13 March 2016, Accepted 13 March 2016, Available online 11 June 2016, Version of Record 11 June 2016.
论文官网地址：https://doi.org/10.1016/j.joi.2016.03.005
