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Measuring the usage of e-research infrastructure as an indicator of research activity

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  • Koen Jonkers
  • Felix Moya Anegon
  • Isidro F. Aguillo

Abstract

This study combines Web usage mining, Web link analysis, and bibliometric methods for analyzing research activities in research organizations. It uses visits to the Expert Protein Analysis System (ExPASy) server—a virtual research infrastructure for bioinformatics—as a proxy for measuring bioinformatic research activity. The study finds that in the United Kingdom (UK), Germany, and Spain the number of visits to the ExPASy Web server made by research organizations is significantly positively correlated with research output in the field of biochemistry, molecular biology, and genetics. Only in the UK do we find a significant positive correlation between ExPASy visits per publication and the normalized impact of an organization's publications. The type of indicator developed in this study can be used to measure research activity in fields in which e‐research has become important. In addition, it can be used for the evaluation of e‐research infrastructures.
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Suggested Citation

  • 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.
    • Handle: RePEc:bla:jinfst:v:63:y:2012:i:7:p:1374-1382
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    File URL: http://hdl.handle.net/10.1002/asi.22681
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    Cited by:

    1. Pardeep Sud & Mike Thelwall, 2014. "Linked title mentions: a new automated link search candidate," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1831-1849, December.
    2. 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.
    3. David Gunnarsson Lorentzen, 2014. "Webometrics benefitting from web mining? An investigation of methods and applications of two research fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 409-445, May.

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