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Academic impact evaluation of Wechat in view of social media perspective

Author

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  • Rongying Zhao

    (Wuhan University
    Wuhan University)

  • Mingkun Wei

    (Wuhan University
    Wuhan University)

Abstract

Social media platform makes more and more influence on academic communication with the development of web 2.0 + technology. Wechat (WeiXin in Chinese) is one of the social media tools based on social media platform to publicly communicate about research developments and finds for academics. The development of Wechat not only enriches the development of social media tools but also provides a new perspective and method for the evaluation of academic influence. The traditional metrics are not necessarily immediate feedback or reproducible, which are based on citation methods of evaluating and filtering articles. Wechat as one of the popular social media tools, which can provide possibility to make impact evaluation as a novel and promising approach to supplement the traditional citation metrics. Wechat not only can support the social influence for non-academic findings, but also provide academic impact of scholarships. The proposed Wechat index may be a useful and timely metric to measure uptake of research findings with public in real time. In short, Wechat is greatly supplement the offline methods of research dissemination and networking.

Suggested Citation

  • Rongying Zhao & Mingkun Wei, 2017. "Academic impact evaluation of Wechat in view of social media perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1777-1791, September.
  • Handle: RePEc:spr:scient:v:112:y:2017:i:3:d:10.1007_s11192-017-2439-2
    DOI: 10.1007/s11192-017-2439-2
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    References listed on IDEAS

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    1. William W. Hood & Concepción S. Wilson, 2001. "The scatter of documents over databases in different subject domains: How many databases are needed?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(14), pages 1242-1254.
    2. Liwen Vaughan & Debora Shaw, 2005. "Web citation data for impact assessment: A comparison of four science disciplines," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(10), pages 1075-1087, August.
    3. Thed N. van Leeuwen & Henk F. Moed, 2005. "Characteristics of journal impact factors: The effects of uncitedness and citation distribution on the understanding of journal impact factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 63(2), pages 357-371, April.
    4. Rongying Zhao & Mingkun Wei, 2017. "Impact evaluation of open source software: an Altmetrics perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 1017-1033, February.
    5. Zohreh Zahedi & Rodrigo Costas & Paul Wouters, 2014. "How well developed are altmetrics? A cross-disciplinary analysis of the presence of ‘alternative metrics’ in scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1491-1513, November.
    6. Tim Brody & Stevan Harnad & Leslie Carr, 2006. "Earlier Web usage statistics as predictors of later citation impact," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(8), pages 1060-1072, June.
    7. Constantinos K. Coursaris & Wietske Van Osch, 2014. "A scientometric analysis of social media research (2004–2011)," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 357-380, October.
    8. Kayvan Kousha & Mike Thelwall, 2008. "Sources of Google Scholar citations outside the Science Citation Index: A comparison between four science disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 273-294, February.
    9. Heather Piwowar, 2013. "Value all research products," Nature, Nature, vol. 493(7431), pages 159-159, January.
    10. Chengqi Guo & J.P. Shim & Robert Otondo, 2010. "Social Network Services in China: An Integrated Model of Centrality, Trust, and Technology Acceptance," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 13(2), pages 76-99, April.
    11. Mojisola Erdt & Aarthy Nagarajan & Sei-Ching Joanna Sin & Yin-Leng Theng, 2016. "Altmetrics: an analysis of the state-of-the-art in measuring research impact on social media," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1117-1166, November.
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    Cited by:

    1. Ying Guo & Xiantao Xiao, 2022. "Author-level altmetrics for the evaluation of Chinese scholars," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 973-990, February.
    2. Nannan Wu & Fan Ding & Ronghua Zhang & Yaoyao Cai & Hongfei Zhang, 2022. "The Relationship between Perceived Social Support and Life Satisfaction: The Chain Mediating Effect of Resilience and Depression among Chinese Medical Staff," IJERPH, MDPI, vol. 19(24), pages 1-15, December.
    3. Ting Cong & Zhichao Fang & Rodrigo Costas, 2022. "WeChat uptake of chinese scholarly journals: an analysis of CSSCI-indexed journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7091-7110, December.

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