Page 151 - JOURNAL OF LIBRARY SCIENCE IN CHINA 2018 Vol. 43
P. 151
ZHAO Xing / Exploring the measurement features of usage data for academic literature 151
Scientometrics, 82(3), 567-580.
Schlögl, C., Gorraiz, J., Gumpenberger, C., Jack, K., & Kraker, P. (2014). Comparison of downloads, citations
and readership data for two information systems journals. Scientometrics, 101(2), 1113-1128.
Seglen, P.O. (1997). Why the impact factor of journals should not be used for evaluating research. BMJ:
British Medical Journal, 314(7079), 498.
Su, L.W., Yu, S., Xu, X., & Zhao, X. (2015). Mean algorithms for composite journal citation analysis based
on multi-source data. Library and Information Service, 19, 100-107. (in Chinese).
Tang, S.H. (2013). The application prospect of Altmetrics. Information Studies: Theory & Application, 36(12),
6-10. (in Chinese).
Wang, X., Fang, Z., & Sun, X. (2016). Usage patterns of scholarly articles on Web of Science: A study on
Web of Science usage count. Scientometrics, 109(2), 917-926.
Ye, Y. (2010). An outline of academic assessment with the citation data of high-quality papers. Journal of
Library Science in China, (1),101-104. (in Chinese).
Zhao, S.X., & Ye, F.Y. (2013). Power-law link strength distribution in paper cocitation networks. Journal of
the Association for Information Science and Technology, 64(7), 1480-1489.
Zhao, S.X., Tan, A.M., & Ye, F.Y. (2012). Distributive h-indices for measuring multilevel impact. Journal of
the Association for Information Science and Technology, 63(10), 2074-2086.
—Translated by Author from 中国图书馆学报, 2017, No.3