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Scientometrics

, Volume 101, Issue 2, pp 1179–1194 | Cite as

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

  • K. Jonkers
  • G. E. Derrick
  • C. Lopez-Illescas
  • P. Van den Besselaar
Article

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.

Keywords

Citation analysis Research infrastructure Evaluation Bioinformatics 

Notes

Acknowledgments

A shorter version of this paper was presented at the ISSI 2013 conference in Vienna (Jonkers et al. 2013) and at the IWBBIO 2013 conference in Granada. The Spanish Ministry of Economics and Competitiveness funded the project of which this paper forms part through the grant: CSO2011-23508. The first three researchers also received funding from the Ramón y Cajal programme (MINECO) the JAE-DOC programme (CSIC) and the Juan de la Cierva programme (MINECO) of the Spanish Ministry of Economics and Competiveness and the Spanish Research Council (CSIC). The last author acknowledges the EC funded ViBRANT project (Grant RI-261532). SIB Swiss Institute of Bioinformatics allowed for the use of the server web log data used for part of this analysis. We would also like to thank Felix de Moya Anegón for introducing us to the NEXTBIO application “section search” and Isidro Aguillo for advice on the use of Quest’s Funnelweb software. Researchers at the Centre for Science and Technology Studies of Leiden University (NL) provided stimulating ideas in discussions during a research stay of one of the authors. The usual disclaimer applies with respect to those contributions.

Disclaimer

The first author worked on this article at the CSIC institute for Public Goods and Policies, but he has currently taken up work at the European Commission. The information and views set out in this chapter do not necessarily reflect the opinion of the first author’s current employer. The European Commission does not guarantee the accuracy of the data included in this study. Neither his current employer nor any person acting on its behalf may be held responsible for the use which may be made of the information contained herein.

Conflict of interest

None.

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Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2014

Authors and Affiliations

  • K. Jonkers
    • 1
  • G. E. Derrick
    • 1
    • 2
  • C. Lopez-Illescas
    • 3
    • 4
  • P. Van den Besselaar
    • 4
  1. 1.Department of Science and Innovation DynamicsCSIC Institute for Public Goods and PoliciesMadridSpain
  2. 2.Health Economics Research Group (HERG)Brunel UniversityLondonUK
  3. 3.SCImago Group, Department of Information ScienceUniversity of ExtremaduraBadajozSpain
  4. 4.Department of Organization Science and Network InstituteVrije University van AmsterdamAmsterdamThe Netherlands

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