Have a personal or library account? Click to login
Usage Count: A New Indicator to Detect Research Fronts Cover

Usage Count: A New Indicator to Detect Research Fronts

Open Access
|Feb 2017

References

  1. Bollen, J., van de Sompel, H., Smith, J.A., & Luce, R. (2005). Toward alternative metrics of journal impact: A comparison of download and citation data. Information Processing and Management, 41(6), 1419–1440.
  2. Braam, R.R., Moed, H.F., & van Raan, A.F.J. (1991). Mapping of science by combined co-citation and word analysis. I: Structural aspects. Journal of the American Society for Information Science, 42(4), 233–251.
  3. Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359–377.
  4. Das, A.K., & Mishra, S. (2014). The spread of scientific information: Insights from the web usage statistics in PLoS article-level metrics. Journal of Scientometric Research, 3(2), 1–16.
  5. Dhillon, I.S. (2004). Kernel k-means, Spectral clustering and normalized cuts. Compute, Cl(78712), 551–556.
  6. Garfield, E. (1994). Research fronts. Current Contents, 41(10), 3–7.
  7. Kuwahara, A.S.Y. (2007). Benchmarking S&T capacity and future direction of S&T development in Japan (Policy analysis of the science and technology basic plans). Journal of Science Policy & Research Management, 21(1), 28–34.
  8. Lin e, M.B., & Sandison, A. (1975). Practical interpretation of citation and library use studies. College an Research Libraries, 36(5), 393–396.
  9. Martín-Martín, A. (2016). Thomson Reuters utiliza altmétricas: Usage counts para los artículos indizados en la Web of Science. Anuario ThinkEPI, 10, 209–221.
  10. Morris, S.A., Yen, G., Wu, Z., & Asnake, B. (2003). Time line visualization of research fronts. Journal of the American Society for Information Science and Technology, 54(5), 413–422.
  11. Nagano, H. (2005). Comprehensive analysis of science and technology benchmarking and foresight. Nistep Report. Retrieved on November 27, 2016, from http://ci.nii.ac.jp/naid/40007130230.
  12. Persson, O. (1994). The intellectual base and research fronts of JASIS 1986–1990. Journal of the American Society for Information Science, 45(1), 31–38.
  13. Porter, A.L., Guo, Y., & Chiavatta, D. (2011). Tech mining: Text mining and visualization tools, as applied to nanoenhanced solar cells. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 1(2), 172–181.
  14. Price, D.J. (1965). Networks of scientific papers. Science, 149(3683), 510.
  15. Schloegl, C., & Gorraiz, J. (2010). Comparison of citation and usage indicators: The case of oncology journals. Scientometrics, 82(3), 567–580.
  16. Schloegl, C., & Gorraiz, J. (2011). Global usage versus global citation metrics: The case of pharmacology journals. Journal of the Association for Information Science and Technology, 62(1), 161–170.
  17. Shibata, N., Kajikawa, Y., Takeda, Y., & Matsushima, K. (2008). Detecting emerging research fronts based on topological measures in citation networks of scientific publications. Technovation, 28(11), 758–775.
  18. Small, H., & Griffith, B.C. (1974). The structure of scientific literatures I: Identifying and graphing specialties. Social Studies of Science, 4(1), 17–40.
  19. Takahashi, K., & Yamanaka, S. (2006). Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors. Cell, 126(4), 663–676.
  20. Takebe, T., Zhang, R.R., Koike, H., Kimuraet, M., Yoshizawa, E., Enomura, M., Koike, N., Sekine, K., & Taniguchi, H. (2013). Generation of a vascularized and functional human liver from an iPSC-derived organ bud transplant. Nature Protocols, 9(2), 481–484.
  21. Thomson Reuters. (2015). Usage count. Retrieved on September 10, 2016, from http://images.webofknowledge.com/WOKRS521R5/help/WOK/hp_usage_score.html.
  22. Urashima, K. (2007). Comprehensive analysis of science and technology benchmarking and foresighting. International Journal of Plasma Envirnoment Science & Technology, 1(1), 3–7.
  23. Vlachý. (1984). Priority choice and research front specialties in physics. Czechoslovak Journal of Physics B, 34(1), 95–98.
  24. von Luxburg, U. (2007). A tutorial on spectral clustering. Statistics and Computing, 17(4), 395–416.
  25. 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.
  26. Yan, K.K., & Gerstein, M. (2011). The spread of scientific information: Insights from the web usage statistics in PLoS article-level metrics. PLoS ONE, 6(5), 1–7.
DOI: https://doi.org/10.1515/jdis-2017-0005 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
Language: English
Page range: 89 - 104
Submitted on: Sep 26, 2016
Accepted on: Dec 4, 2016
Published on: Feb 18, 2017
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year

© 2017 Guoqiang Liang, Haiyan Hou, Zhigang Hu, Fu Huang, Yajie Wang, Shanshan Zhang, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.