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Measuring the scientific impact of e-research infrastructures: a citation based approach? |
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| Authors: | K Jonkers G E Derrick C Lopez-Illescas P Van den Besselaar |
| Affiliation: | 1. Department of Science and Innovation Dynamics, CSIC Institute for Public Goods and Policies, C/Albasanz 26-28, 28033, Madrid, Spain 2. Health Economics Research Group (HERG), Brunel University, London, UK 3. SCImago Group, Department of Information Science, University of Extremadura, Badajoz, Spain 4. Department of Organization Science and Network Institute, Vrije University van Amsterdam, Amsterdam, The Netherlands |
| 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. |
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