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Tracing the wider impacts of biomedical research: a literature search to develop a novel citation categorisation technique

Author

Listed:
  • Teresa H. Jones

    (Brunel University)

  • Claire Donovan

    (Brunel University)

  • Steve Hanney

    (Brunel University)

Abstract

There is an increasing need both to understand the translation of biomedical research into improved healthcare and to assess the range of wider impacts from health research such as improved health policies, health practices and healthcare. Conducting such assessments is complex and new methods are being sought. Our new approach involves several steps. First, we developed a qualitative citation analysis technique to apply to biomedical research in order to assess the contribution that individual papers made to further research. Second, using this method, we then proposed to trace the citations to the original research through a series of generations of citing papers. Third, we aimed eventually to assess the wider impacts of the various generations. This article describes our comprehensive literature search to inform the new technique. We searched various databases, specific bibliometrics journals and the bibliographies of key papers. After excluding irrelevant papers we reviewed those remaining for either general or specific details that could inform development of our new technique. Various characteristics of citations were identified that had been found to predict their importance to the citing paper including the citation’s location; number of citation occasions and whether the author(s) of the cited paper were named within the citing paper. We combined these objective characteristics with subjective approaches also identified from the literature search to develop a citation categorisation technique that would allow us to achieve the first of the steps above, i.e., being able routinely to assess the contribution that individual papers make to further research.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:scient:v:93:y:2012:i:1:d:10.1007_s11192-012-0642-8
    DOI: 10.1007/s11192-012-0642-8
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    References listed on IDEAS

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    1. 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.
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    Citations

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    Cited by:

    1. Dongqing Lyu & Xuanmin Ruan & Juan Xie & Ying Cheng, 2021. "The classification of citing motivations: a meta-synthesis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3243-3264, April.
    2. Ehsan Mohammadi & Mike Thelwall & Stefanie Haustein & Vincent Larivière, 2015. "Who reads research articles? An altmetrics analysis of Mendeley user categories," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(9), pages 1832-1846, September.
    3. Metwaly Ali Mohamed Eldakar, 2019. "Who reads international Egyptian academic articles? An altmetrics analysis of Mendeley readership categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 105-135, October.
    4. Christina H. Drew & Kristianna G. Pettibone & Fallis Owen Finch & Douglas Giles & Paul Jordan, 2016. "Automated Research Impact Assessment: a new bibliometrics approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 987-1005, March.
    5. Ehsan Mohammadi & Mike Thelwall, 2013. "Assessing non-standard article impact using F1000 labels," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 383-395, November.

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