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A new input indicator for the assessment of science & technology research?

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Listed:
  • Sonia M. R. Vasconcelos

    (Science Education Program/Medical Biochemistry Institute/Federal University of Rio de Janeiro (UFRJ))

  • Martha M. Sorenson

    (Science Education Program/Medical Biochemistry Institute/Federal University of Rio de Janeiro (UFRJ))

  • Jacqueline Leta

    (Science Education Program/Medical Biochemistry Institute/Federal University of Rio de Janeiro (UFRJ))

Abstract

Traditional input indicators of research performance, such as research funding, number of active scientists, and international collaborations, have been widely used to assess countries’ publication output. However, while publication in today’s English-only research world requires sound research in readable English, English proficiency may be a problem for the productivity of non-native English-speaking (NNES) countries. Data provided by the Brazilian National Research Council (CNPq) containing the academic profile of 51,223 Brazilian researchers show a correlation between English proficiency and publication output. According to our results, traditional input indicators may fall short of providing an accurate representation of the research performance of NNES developing countries.

Suggested Citation

  • Sonia M. R. Vasconcelos & Martha M. Sorenson & Jacqueline Leta, 2009. "A new input indicator for the assessment of science & technology research?," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(1), pages 217-230, July.
    • Handle: RePEc:spr:scient:v:80:y:2009:i:1:d:10.1007_s11192-008-2082-z
    DOI: 10.1007/s11192-008-2082-z
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    References listed on IDEAS

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    Cited by:

    1. Peder Olesen Larsen & Markus Ins, 2010. "The rate of growth in scientific publication and the decline in coverage provided by Science Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 575-603, September.
    2. Cristina Gomes Souza & Marta Lúcia Azevedo Ferreira, 2013. "Researchers profile, co-authorship pattern and knowledge organization in information science in Brazil," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 673-687, May.
    3. Chung-Souk Han & Su Kyung Lee & Mark England, 2010. "Transition to postmodern science—related scientometric data," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 391-401, August.

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