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Scientometrics

, Volume 15, Issue 3–4, pp 257–282 | Cite as

Journal-to-journal citation data: Issues of validity and reliability

  • R. E. Rice
  • Christine L. Borgman
  • Diane Bednarski
  • P. J. Hart
Article

Abstract

Citation analysis is a useful method for studying a wide range of topics in bibliometrics and the sociology of science. However, many challenges have been made to the validity and reliability of the underlying assumptions, the data, and the methods used in citation studies. This article addresses these issues in three parts. First is a brief review of validity and reliability issues in citation research. Next we explore measurement error in a principal source of journal-to-journal citation data, the Institute for Scientific Information'sJournal Citation Reports. Possible sources of measurement error include discrepancies between citing and cited data, changed or deleted journal titles, aberrant abbreviations, and listing algorithms. The last section is a detailed description of ways to overcome some of the measurement errors. The data and examples are drawn from a journal-to-journal citation study in the fields of Communication, Information Science, and Library Science.

Keywords

Measurement Error Scientific Information Citation Analysis Principal Source Citation Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Akadémiai Kiadó 1989

Authors and Affiliations

  • R. E. Rice
    • 1
  • Christine L. Borgman
    • 2
  • Diane Bednarski
    • 3
  • P. J. Hart
    • 4
  1. 1.School of Communication, Information and Library StudiesRutgers UniversityNew Brunswick(USA)
  2. 2.Graduate School of Library and Information Science University of CaliforniaLos Angeles(USA)
  3. 3.OCLC Pacific Network 250 West First StClaremont(USA)
  4. 4.Dept. of Computer ScienceUniversity of Southern CaliforniaLos Angeles(USA)

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