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Using categorisations of citations when assessing the outcomes from health research

Author

Listed:
  • Steve Hanney

    (Health Economics Research Group, Brunel University)

  • Iain Frame

    (Policy Unit, Wellcome Trust)

  • Jonathan Grant

    (RAND Europe)

  • Martin Buxton

    (Health Economics Research Group, Brunel University)

  • Tracey Young

    (Health Economics Research Group, Brunel University)

  • Grant Lewison

    (Department of Information Science, City University)

Abstract

Summary This paper describes an attempt to explore how far a categorisation of citations could be used as part of an assessment of the outcomes from health research. A large-scale project to assess the outcomes from basic, or early clinical, research is being planned, but before proceeding with such a project it was thought important to test and refine the developing methods in a preliminary study. Here we describe the development, and initial application, of one element of the planned methods: an approach to categorising citations with the aim of tracing the impact made by a body of research through several generations of papers. The results from this study contribute to methodological development for the large-scale project by indicating that: only for a small minority of citing papers is the cited paper of considerable importance; the number of times a paper is cited can not be used to indicate the importance of that paper to the articles that cite it; and self-citations could play an important role in facilitating the eventual outcomes achieved from a body of research.

Suggested Citation

  • Steve Hanney & Iain Frame & Jonathan Grant & Martin Buxton & Tracey Young & Grant Lewison, 2005. "Using categorisations of citations when assessing the outcomes from health research," Scientometrics, Springer;Akadémiai Kiadó, vol. 65(3), pages 357-379, December.
    • Handle: RePEc:spr:scient:v:65:y:2005:i:3:d:10.1007_s11192-005-0279-y
    DOI: 10.1007/s11192-005-0279-y
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    Citations

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    Cited by:

    1. Quan’e Ren & Xuemei Gong, 2012. "Evaluation index system for academic papers of humanities and social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 1047-1060, December.
    2. P. Vinkler, 2010. "Indicators are the essence of scientometrics and bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 861-866, December.
    3. Ling Zhang & Huan Zhao & Qiushi Li & Juan Wang & Xin Tan, 2010. "Establishment of paper assessment system based on academic disciplinary benchmarks," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 421-429, August.
    4. Hamid R. Jamali & Majid Nabavi & Saeid Asadi, 2018. "How video articles are cited, the case of JoVE: Journal of Visualized Experiments," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1821-1839, December.
    5. Stremersch, S. & Camacho, N.M.A. & Vanneste, S. & Verniers, I.W.J., 2014. "Unraveling Scientific Impact," ERIM Report Series Research in Management ERS-2014-014-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    6. Ehsan Mohammadi & Mike Thelwall, 2013. "Assessing non-standard article impact using F1000 labels," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 383-395, November.
    7. Teresa H. Jones & Claire Donovan & Steve Hanney, 2012. "Tracing the wider impacts of biomedical research: a literature search to develop a novel citation categorisation technique," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 125-134, October.
    8. Stremersch, Stefan & Camacho, Nuno & Vanneste, Sofie & Verniers, Isabel, 2015. "Unraveling scientific impact: Citation types in marketing journals," International Journal of Research in Marketing, Elsevier, vol. 32(1), pages 64-77.

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