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.




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References
Adie, E., & Roe, W. (2013). Altmetric: Enriching scholarly content with article-level discussion and metrics. Learned Publishing, 26(1), 11–17.
Arakawa, M. (2012). The changing role of librarians in the digital world: Adoption of Web 2.0 technologies by Pakistani librarians. Electronic Library, 30(4), 469–479.
Bollen, J., & Sompel, H. V. D., et al. (2009). A principal component analysis of 39 scientific impact measures. PLoS ONE, 4(6), e6022.
Borchardt, R., & Roemer, R. C. (2013). Institutional altmetrics and academic libraries. Information Standards Quarterly, 25(2), 14–19.
Brody, T., & Harnad, S., et al. (2006). Earlier web usage statistics as predictors of later citation impact. Journal of the Association for Information Science and Technology, 57(8), 1060–1072.
Collection, T. A. (2012). The altmetrics collection. PLoS ONE, 7(11), e48753.
Cormode, G., & Krishnamurthy, B. (2008). Key differences between Web 1.0 and Web 2.0. First Monday, 13(6), 1–30.
Coursaris, C. K., & Osch, W. V. (2014). A scientometric analysis of social media research (2004–2011). Scientometrics, 101(1), 357–380.
Ding, Y., & Jacob, E. K., et al. (2009). Perspectives on social tagging. Journal of the Association for Information Science and Technology, 60(12), 2388–2401.
Dubois, E., & Gaffney, D. (2014). The multiple facets of influence: Identifying political influentials and opinion leaders on Twitter. American Behavioral Scientist, 58(10), 1260–1277.
Ebner, M. (2013). The influence of Twitter on the academic environment. Social Media and the New Academic Environment Pedagogical Challenges, 343(343), 24–29.
Erdt, M., & Nagarajan, A., et al. (2016). Altmetrics: An analysis of the state-of-the-art in measuring research impact on social media. Scientometrics, 109(2), 1117–1166.
Fenner, M. (2013). What can article-level metrics do for you? PLoS Biology, 11(10), 363–367.
Garfield, E. (1972). Citation analysis as a tool in journal evaluation. Science, 178(4060), 471–479.
Garfield, E. (1999). Journal impact factor: A brief review. Canadian Medical Association Journal, 161(8), 979–980.
Gsdata (2017). Qingbo index. Retrieved April 10, 2017, from http://www.gsdata.cn/.
Guo, C., & Shim, J. P., et al. (2010). Social network services in China: An integrated model of centrality, trust, and technology acceptance. Journal of Global Information Technology Management, 13(2), 76–99.
Harinarayana, N. S., & Raju, N. V. (2010). Web 2.0 features in university library web sites. The Electronic Library, 28(1), 69–88.
Hirsch, J. E. (2010). An index to quantify an individual’s scientific research output. Scientometrics, 102(3), 16569–16572.
Hood, W. W., & Wilson, C., et al. (2001). The scatter of documents over databases in different subject domains: How many databases are needed? Journal of the Association for Information Science and Technology, 52(14), 1242–1254.
Jahan, I., & Ahmed, S. M. Z. (2012). Students’ perceptions of academic use of social networking sites: A survey of university students in Bangladesh. Information Development, 28(3), 235–247.
Kim, Y. M., & Abbas, J. (2010). Adoption of library 2.0 functionalities by academic libraries and users: A knowledge management perspective. Journal of Academic Librarianship, 36(3), 211–218.
Kousha, K., & Thelwall, M. (2008). Sources of Google Scholar citations outside the Science Citation Index: A comparison between four science disciplines. Scientometrics, 74(2), 273–294.
Kurtz, M. J., & Eichhorn, G., et al. (2005). The bibliometric properties of article readership information. Journal of the Association for Information Science and Technology, 56(2), 111–128.
Leeuwen, T. N. V., & Moed, H. F. (2005). Characteristics of journal impact factors: The effects of uncitedness and citation distribution on the understanding of journal impact factors. Scientometrics, 63(2), 357–371.
Lin, L., & Library, G. (2014). The application of Wechat in the library. Agriculture Network Information, 2, 112–116.
Linh, N. C. (2008). A survey of the application of Web 2.0 in Australasian university libraries. Library Hi Tech, 26(4), 630–653.
Liu, S. (2008). Engaging users: The future of academic library web sites. College & Research Libraries, 69(1), 6–27.
Liu, C. L., Xu, Y. Q., Wu, H., Chen, S. S., & Guo, J. J. (2013). Correlation and interaction visualization of altmetric indicators extracted from scholarly social network activities: Dimensions and structure. Journal of Medical Internet Research, 15(11), e259.
McKinley, D., & McKinley, D. (2016). Social media strategies for dynamic library service development. The Electronic Library, 34(1), 172–173.
Murugan, K., & Lingaiah, V., et al. (2013). Next generation library services using social networking tools in academic libraries. International Journal of Advanced Research in Computer Science, 4(11), 158.
Piwowar, H. (2013). Altmetrics: Value all research products. Nature, 493(7431), 159.
Priem, J., & Hemminger, B. H. (2010). Scientometrics 2.0: New metrics of scholarly impact on the social Web. First Monday, 15(7).
Priem, J., Taraborelli, D., Groth, P., & Neylon, C. (2010). Altmetrics: a manifesto. Retrieved from http://altmetrics.org/manifesto/.
Shi, R., & Si, L., et al. (2011). An investigation and analysis of the application of Web 2.0 in Chinese university libraries. The Electronic Library, 44(5), 1508–1511.
Taylor, J. (2009). The journal impact factor and other bibliometrics: Do they have a role in subscription selection? Health Inform, 18(2), 7.
Vaughan, L., & Shaw, D. (2005). Web citation data for impact assessment: A comparison of four science disciplines. Journal of the Association for Information Science and Technology, 56(10), 1075–1087.
Xu, J., & Kang, Q., et al. (2015). Applications of mobile social media: WeChat among academic libraries in China. Journal of Academic Librarianship, 41(1), 21–30.
Zahedi, Z., & Costas, R., et al. (2014). How well developed are Altmetrics? A cross-disciplinary analysis of the presence of `alternative metrics’ in scientific publications. Scientometrics, 101(2), 1491–1513.
Zhang, X., & Yang, Z. Y., et al. (2016). Subject librarian services in medical libraries based on WeChat. Journal of Medical Informatics, 37(2), 74–76.
Zhao, R., & Wei, M. (2017). Impact evaluation of open source software: An altmetrics perspective. Scientometrics, 110(2), 1017–1033.
Zhu, Q., & Zhu, Q. (2016). The application of social media in outreach of academic libraries’ resources and services: A case study on WeChat. Library Hi Tech, 34(4), 615–624.
Acknowledgements
We would like to thank Shen yang from gsdata.cn for help and support in providing the data. This work is supported by National Social Science Foundation in China (Grant No. 16BTQ055). Finally, we thank Wolfgang Glänzel for comments and two anonymous referees.
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Zhao, R., Wei, M. Academic impact evaluation of Wechat in view of social media perspective. Scientometrics 112, 1777–1791 (2017). https://doi.org/10.1007/s11192-017-2439-2
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DOI: https://doi.org/10.1007/s11192-017-2439-2