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National research contributions: A case study on Finnish biomedical research

Author

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  • Pentti Riikonen

    (University of Turku)

  • Mauno Vihinen

    (University of Tampere
    Tampere University Hospital)

Abstract

The long-term influence and contribution of research can be evaluated relatively reliably by bibliometric citation analysis. Previously, productivity of nations has been estimated by using either the number of published articles or journal impact factors and/or citation data. These studies show certain trends, but detailed analysis is not possible due to the assumption that all articles in a journal were equally cited. Here we describe the first comprehensive, longterm, nationwide analysis of scientific performance. We studied the lifetime research output of 748 Finnish principal investigators in biomedicine during the years 1966–2000, analysed national trends, and made a comparison with international research production. Our results indicate that analyses of the scientific contribution of persons, disciplines, or nations should be based on actual publication and citation counts rather than on derived information like impact factors. 51% of the principal investigators have published altogether 75% of the articles; however, the whole scientific community has contributed to the growth of biomedical research in Finland since the Second World War.

Suggested Citation

  • Pentti Riikonen & Mauno Vihinen, 2008. "National research contributions: A case study on Finnish biomedical research," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 207-222, November.
    • Handle: RePEc:spr:scient:v:77:y:2008:i:2:d:10.1007_s11192-007-1962-y
    DOI: 10.1007/s11192-007-1962-y
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    References listed on IDEAS

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    Cited by:

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    2. Antonia Gogoglou & Antonis Sidiropoulos & Dimitrios Katsaros & Yannis Manolopoulos, 2017. "The fractal dimension of a citation curve: quantifying an individual’s scientific output using the geometry of the entire curve," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1751-1774, June.
    3. Liang Wang & Xiaolong Xue & Yuanxin Zhang & Xiaowei Luo, 2018. "Exploring the Emerging Evolution Trends of Urban Resilience Research by Scientometric Analysis," IJERPH, MDPI, vol. 15(10), pages 1-29, October.
    4. Sidiropoulos, A. & Gogoglou, A. & Katsaros, D. & Manolopoulos, Y., 2016. "Gazing at the skyline for star scientists," Journal of Informetrics, Elsevier, vol. 10(3), pages 789-813.
    5. Harlley Lima & Thiago H. P. Silva & Mirella M. Moro & Rodrygo L. T. Santos & Wagner Meira & Alberto H. F. Laender, 2015. "Assessing the profile of top Brazilian computer science researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 879-896, June.
    6. Fred Y. Ye & Ronald Rousseau, 2010. "Probing the h-core: an investigation of the tail–core ratio for rank distributions," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 431-439, August.
    7. João Mateus Freitas Veneroso & Marlon Dias & Alberto Ueda & Sabir Ribas & Berthier Ribeiro-Neto & Nivio Ziviani & Edmundo Souza e Silva, 2019. "P-score: a reputation bibliographic index that complements citation counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1269-1291, December.

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