Using categorisations of citations when assessing the outcomes from health research
Steve Hanney,
Iain Frame,
Jonathan Grant,
Martin Buxton,
Tracey Young and
Grant Lewison
Additional contact information
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
Scientometrics, 2005, vol. 65, issue 3, No 9, 357-379
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.
Date: 2005
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DOI: 10.1007/s11192-005-0279-y
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