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Scientific literature cited in USPTO patent documents as indicators for the evaluation and analysis of Spanish scientific research in biomedical disciplines

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  • Luis M. Plaza

    (Consejo Superior de Investigaciones Científicas (CSIC))

  • Armando Albert

    (Consejo Superior de Investigaciones Científicas (CSIC))

Abstract

The use of indicators based on the analysis of the scientific literature cited in patent documents is proposed for the evaluation of biomedical research. A study carried out on several groups of researchers working in universities, public research centers, and hospitals, has shown that an important percentage of Spanish scientists have authored publications that are cited in US patents in the field of Biotechnology. The study and analysis of those cites allows a evaluation of the flow of knowledge generated by the different groups of scientists towards the development of technologies, and to learn on the relationship between the characteristics of the cited publications and the frequency they are cited in the patents. The results obtained avail the use of new indicators based on the cites in patents to perform a more complete evaluation of the published research related with Biotechnology and Biomedicine, both at the level of research institutions and individual scientists.

Suggested Citation

  • Luis M. Plaza & Armando Albert, 2008. "Scientific literature cited in USPTO patent documents as indicators for the evaluation and analysis of Spanish scientific research in biomedical disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 429-438, September.
    • Handle: RePEc:spr:scient:v:76:y:2008:i:3:d:10.1007_s11192-007-1763-3
    DOI: 10.1007/s11192-007-1763-3
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    References listed on IDEAS

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    1. Narin, Francis & Olivastro, Dominic, 1992. "Status report: Linkage between technology and science," Research Policy, Elsevier, vol. 21(3), pages 237-249, June.
    2. Albert Armando & Luis M. Plaza, 2004. "The transfer of knowledge from the Spanish public R&D system to the productive sectors in the field of Biotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(1), pages 3-14, January.
    3. Jacques Michel & Bernd Bettels, 2001. "Patent citation analysis.A closer look at the basic input data from patent search reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 185-201, April.
    4. Grant Lewison, 2002. "From biomedical research to health improvement," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(2), pages 179-192, June.
    5. Gomez, I. & Fernandez, M. T. & Zulueta, M. A. & Cami, J., 1995. "Analysis of biomedical research in Spain," Research Policy, Elsevier, vol. 24(3), pages 459-471, May.
    6. Martin Meyer, 2002. "Tracing knowledge flows in innovation systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(2), pages 193-212, June.
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