Global science discussed in local altmetrics: Weibo and its comparison with Twitter Public Deposited

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Creator
  • Yu, Houqiang
    • Other Affiliation: School of Information Management, Wuhan University, Wuhan 430072, China
  • Hemminger, Bradley M.
    • Affiliation: School of Information and Library Science
  • Yang, Siluo
    • Other Affiliation: School of Information Management, Wuhan University, Wuhan 430072, China
  • Xu, Shenmeng
    • Affiliation: School of Information and Library Science
  • Xiao, Tingting
    • Other Affiliation: School of Information Management, Wuhan University, Wuhan 430072, China
Abstract
  • Local altmetrics is currently an integral part of the altmetrics landscape. This paper aims to investigate the characteristics of microblog altmetrics of the Chinese microblog platform, Weibo, to shed light on cultural differences and draw attention to local altmetrics in developing countries. The analysis is based on 4.4 million records provided by Altmetric.com. Data collected are from March 2014 to July 2015. It is found that Weibo users discuss global science, more actively compared with several international altmetrics sources. Statistical results show strong evidence of the immediacy advantage of metrics based on Weibo as well as Twitter and the general altmetrics over citations. Distribution of Weibo altmetrics on the article level, source level and discipline level are highly skewed. Overall, compared with Twitter, Weibo altmetrics present similar distributions, with some minor variations. To better understand how and why Weibo users discuss global scientific articles, the top weiboed articles, sources and disciplines are identified and further explored. Our content analysis shows that the common motivation of scientific weibos is to disseminate or discuss the articles because they are interesting, surprising, academically useful or practically useful. Conclusion of articles is the most frequently mentioned element in scientific weibos. In addition, different from Twitter, Weibo users have a preference for traditional prestigious journals.
Date of publication
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Identifier
  • doi:10.1016/j.joi.2017.02.011
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Resource type
  • Article
Rights statement
  • In Copyright
Journal title
  • Journal of Informetrics
Journal volume
  • 11
Journal issue
  • 2
Page start
  • 466
Page end
  • 482
Language
  • English
Version
  • Postprint
ISSN
  • 1751-1577
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