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Measuring the scientific impact of e-research infrastructures: a citation based approach?

Author

Listed:
  • K. Jonkers

    (CSIC Institute for Public Goods and Policies)

  • G. E. Derrick

    (CSIC Institute for Public Goods and Policies
    Brunel University)

  • C. Lopez-Illescas

    (University of Extremadura
    Vrije University van Amsterdam)

  • P. Besselaar

    (Vrije University van Amsterdam)

Abstract

This micro-level study explores the extent that citation analysis provides an accurate and representative assessment of the use and impact of bioinformatics e-research infrastructure. The bioinformatic e-research infrastructure studied offers common tools used by life scientists to analyse and interpret genetic and protein sequence information. These e-resources therefore provide an interesting example with which to explore how representative citations are as acknowledgements of knowledge in the life sciences. The examples presented here suggest that there is a relation between number of visits to these databases and number of citations; however, a parallel finding shows how citation analysis frequently underestimates acknowledged use of the resources offered on this e-research infrastructure. The paper discusses the implications of the findings for various aspects of impact measurement and also considers how appropriate citation analysis is as a measurement of knowledge claims.

Suggested Citation

  • K. Jonkers & G. E. Derrick & C. Lopez-Illescas & P. Besselaar, 2014. "Measuring the scientific impact of e-research infrastructures: a citation based approach?," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1179-1194, November.
    • Handle: RePEc:spr:scient:v:101:y:2014:i:2:d:10.1007_s11192-014-1411-7
    DOI: 10.1007/s11192-014-1411-7
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    References listed on IDEAS

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    1. Koen Jonkers & Felix Moya Anegon & Isidro F. Aguillo, 2012. "Measuring the usage of e-research infrastructure as an indicator of research activity," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1374-1382, July.
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