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Tracking knowledge diffusion through citations

Author

Listed:
  • Grant Lewison
  • Isla Rippon
  • Steven Wooding

Abstract

Citations in the serial literature provide a method of investigating how published biomedical research influences work in other countries, in other subject areas and at different research levels (from clinical to basic). This paper examines four successive generations of papers citing to a set of UK arthritis papers to evaluate its ‘down-stream’ influence. The citing papers are progressively more international, less within the arthritis sub-field and on average more basic (not more clinical) in character. Most of these findings can be plausibly attributed to differences in the referencing behaviour of biomedical researchers working at different research levels and in different countries. Copyright , Beech Tree Publishing.

Suggested Citation

  • Grant Lewison & Isla Rippon & Steven Wooding, 2005. "Tracking knowledge diffusion through citations," Research Evaluation, Oxford University Press, vol. 14(1), pages 5-14, April.
    • Handle: RePEc:oup:rseval:v:14:y:2005:i:1:p:5-14
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    File URL: http://hdl.handle.net/10.3152/147154405781776319
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    Citations

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    Cited by:

    1. Liu, Jialin & Chen, Hongkan & Liu, Zhibo & Bu, Yi & Gu, Weiye, 2022. "Non-linearity between referencing behavior and citation impact: A large-scale, discipline-level analysis," Journal of Informetrics, Elsevier, vol. 16(3).
    2. Wang, Jue & Zhang, Liwei, 2018. "Proximal advantage in knowledge diffusion: The time dimension," Journal of Informetrics, Elsevier, vol. 12(3), pages 858-867.
    3. Pan, Xuelian & Yan, Erjia & Cui, Ming & Hua, Weina, 2018. "Examining the usage, citation, and diffusion patterns of bibliometric mapping software: A comparative study of three tools," Journal of Informetrics, Elsevier, vol. 12(2), pages 481-493.
    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. Hu, Xiaojun & Rousseau, Ronald, 2018. "A new approach to explore the knowledge transition path in the evolution of science & technology: From the biology of restriction enzymes to their application in biotechnology," Journal of Informetrics, Elsevier, vol. 12(3), pages 842-857.
    6. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    7. Yan, Erjia & Ding, Ying & Cronin, Blaise & Leydesdorff, Loet, 2013. "A bird's-eye view of scientific trading: Dependency relations among fields of science," Journal of Informetrics, Elsevier, vol. 7(2), pages 249-264.

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