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The definition of biomedical research subfields with title keywords and application to the analysis of research outputs

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  • Grant Lewison

Abstract

Authors of biomedical research papers publish most of them in journals that are not specialist in their subfield. So a filter to retrieve papers in a subfield from a database must be based primarily on title keywords although the names of specialist journals can also be used. In studies to compare outputs in different subfields, the subfield filters must be calibrated to allow for their lack of both recall and precision. Two methods are described, and the results used to construct an output portfolio analysis. The importance of title keywords is illustrated by analysis of: output of different countries as a fraction of world total for a subfield; quality and research level of journals used by researchers; and the numbers of citations received by their papers. New graphical methods of presentation of these indicators are used. Copyright , Beech Tree Publishing.

Suggested Citation

  • Grant Lewison, 1996. "The definition of biomedical research subfields with title keywords and application to the analysis of research outputs," Research Evaluation, Oxford University Press, vol. 6(1), pages 25-36, April.
    • Handle: RePEc:oup:rseval:v:6:y:1996:i:1:p:25-36
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    File URL: http://hdl.handle.net/10.1093/rev/6.1.25
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    Citations

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    Cited by:

    1. Grant Lewison & Guillermo Paraje, 2004. "The classification of biomedical journals by research level," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(2), pages 145-157, June.
    2. Tanskanen, Kari & Ahola, Tuomas & Aminoff, Anna & Bragge, Johanna & Kaipia, Riikka & Kauppi, Katri, 2017. "Towards evidence-based management of external resources: Developing design propositions and future research avenues through research synthesis," Research Policy, Elsevier, vol. 46(6), pages 1087-1105.
    3. G. Lewison, 1999. "The definition and calibration of biomedical subfields," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(3), pages 529-537, November.
    4. Dag W. Aksnes & Terje Bruen Olsen & Per O. Seglen, 2000. "Validation of Bibliometric Indicators in the Field of Microbiology: A Norwegian Case Study," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(1), pages 7-22, August.
    5. Carmen López-Illescas & Ed C.M. Noyons & Martijn S. Visser & Félix De Moya-Anegón & Henk F. Moed, 2009. "Expansion of scientific journal categories using reference analysis: How can it be done and does it make a difference?," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(3), pages 473-490, June.
    6. Lundberg, Jonas, 2007. "Lifting the crown—citation z-score," Journal of Informetrics, Elsevier, vol. 1(2), pages 145-154.
    7. Jacqueline Leta & Grant Lewison, 2003. "The contribution of women in Brazilian science: A case study in astronomy, immunology and oceanography," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(3), pages 339-353, July.

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