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Research performance at the micro level: analysis of structure and dynamics of pharmacological research teams

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  • M Bordons
  • M A Zulueta
  • A Cabrero
  • S Barrigón

Abstract

Spanish teams in pharmacology were identified using an in-house methodology, and the team structure and its evolution over time were analysed using bibliometric indicators. Geographical distribution of teams was rather irregular; the most productive centres hold the most teams and the largest Comparing years 1986–89 with 1990–93, a high increase in Spanish scientific production in the field was observed, together with a slight upward trend for both scientific collaboration and expected impact factor. An increase over time in the number of active authors in the field, and in the number of research teams were detected No change was observed for team size nor for inter-institutional composition of teams over time, despite both of these being objectives of Spanish science policy measures in the past few years. Copyright , Beech Tree Publishing.

Suggested Citation

  • M Bordons & M A Zulueta & A Cabrero & S Barrigón, 1995. "Research performance at the micro level: analysis of structure and dynamics of pharmacological research teams," Research Evaluation, Oxford University Press, vol. 5(2), pages 137-142, August.
    • Handle: RePEc:oup:rseval:v:5:y:1995:i:2:p:137-142
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    File URL: http://hdl.handle.net/10.1093/rev/5.2.137
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    Cited by:

    1. D’Este, Pablo & Robinson-García, Nicolás, 2023. "Interdisciplinary research and the societal visibility of science: The advantages of spanning multiple and distant scientific fields," Research Policy, Elsevier, vol. 52(2).
    2. Costas, Rodrigo & van Leeuwen, Thed N. & van Raan, Anthony F.J., 2013. "Effects of the durability of scientific literature at the group level: Case study of chemistry research groups in the Netherlands," Research Policy, Elsevier, vol. 42(4), pages 886-894.
    3. Rodrigo Costas & Thed N. Leeuwen & Anthony F. J. Raan, 2011. "The “Mendel syndrome” in science: durability of scientific literature and its effects on bibliometric analysis of individual scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 177-205, October.
    4. Antonio Perianes-Rodríguez & Carlos Olmeda-Gómez & Félix Moya-Anegón, 2010. "Detecting, identifying and visualizing research groups in co-authorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 307-319, February.

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