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An empirical study on the utilization of web academic resources in humanities and social sciences based on web citations

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Abstract

In this era of a rapid change in the way people finding and using information resources, despite that the academic communication and using patterns for people in the traditional print environment have been studied for many years, the Internet media presents a new and relatively unexplored area for such study. In this article, we explored the distribution and utilization of web recourses in humanities and social sciences based on web citations. We collected 1,421,731 citations listed in 148,172 articles from 493 journals published during the period of 2006–2007 in the CSSCI, which resulted in 44,973 web citations. We counted the amount and types of web resources used in various disciplines, analyzed the URLs frequency from the host-level, fitted the frequency distribution into the regression models with SPSS, and perform the disciplines coupling analysis based on the web citations. We found out that: (a) The distributions of web citations by years or by websites and webpage types are selective and regular; (b) Great disparity exists among various disciplines in terms of using web information, and the high-frequency websites; (c) The frequency distribution of web citations is similar to the Garfield’s citation distribution curve; (d) Some relationships between disciplines are detected, based on the utilization of web information.

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Acknowledgments

The authors would like to acknowledge the support of Humanities & Social Scientific Research Fund of MOE (The laws of Web citation and its application) and enlightening comments from reviewers. Special thanks should go to James Zhang and Hao Zhang who have put considerable time and effort into their comments on the draft.

Author information

Authors and Affiliations

  1. Public Management School, Xiangtan University, Xiangtan, China

    Siluo Yang

  2. Research Center for Chinese Science Evaluation, Wuhan University, Wuhan, China

    Junping Qiu

  3. College of Information Science and Technology, Drexel University, Philadelphia, PA, USA

    Zunyan Xiong

Authors
  1. Siluo Yang
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  2. Junping Qiu
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  3. Zunyan Xiong
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Corresponding author

Correspondence to Siluo Yang.

Appendix

Appendix

See Tables 5, 6, 7 and 8.

Table 5 The distribution of web citation by the date recorded in the citation
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Table 6 The distribution of website types in citation
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Table 7 The distribution of webpage types in citation
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Table 8 The top 28 high cited websites in CSSCI
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Yang, S., Qiu, J. & Xiong, Z. An empirical study on the utilization of web academic resources in humanities and social sciences based on web citations. Scientometrics 84, 1–19 (2010). https://doi.org/10.1007/s11192-009-0142-7

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