Home > Research > Publications & Outputs > Measuring the scientific impact of e-research i...

Research

Links

Text available via DOI:

Keywords

View graph of relations

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

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Measuring the scientific impact of e-research infrastructures: a citation based approach? / Jonkers, K.; Derrick, G. E.; Lopez-Illescas, C. et al.
In: Scientometrics, Vol. 101, No. 2, 11.2014, p. 1179-1194.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Jonkers, K, Derrick, GE, Lopez-Illescas, C & Van den Besselaar, P 2014, 'Measuring the scientific impact of e-research infrastructures: a citation based approach?', Scientometrics, vol. 101, no. 2, pp. 1179-1194. https://doi.org/10.1007/s11192-014-1411-7

APA

Jonkers, K., Derrick, G. E., Lopez-Illescas, C., & Van den Besselaar, P. (2014). Measuring the scientific impact of e-research infrastructures: a citation based approach? Scientometrics, 101(2), 1179-1194. https://doi.org/10.1007/s11192-014-1411-7

Vancouver

Jonkers K, Derrick GE, Lopez-Illescas C, Van den Besselaar P. Measuring the scientific impact of e-research infrastructures: a citation based approach? Scientometrics. 2014 Nov;101(2):1179-1194. Epub 2014 Aug 27. doi: 10.1007/s11192-014-1411-7

Author

Jonkers, K. ; Derrick, G. E. ; Lopez-Illescas, C. et al. / Measuring the scientific impact of e-research infrastructures : a citation based approach?. In: Scientometrics. 2014 ; Vol. 101, No. 2. pp. 1179-1194.

Bibtex

@article{6edb395f47ef4b7c9856715c5cb9cbc3,
title = "Measuring the scientific impact of e-research infrastructures: a citation based approach?",
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, DATABASE, INDICATORS, BEHAVIOR, SCIENCE, TOOLS, MODEL",
author = "K. Jonkers and Derrick, {G. E.} and C. Lopez-Illescas and {Van den Besselaar}, P.",
year = "2014",
month = nov,
doi = "10.1007/s11192-014-1411-7",
language = "English",
volume = "101",
pages = "1179--1194",
journal = "Scientometrics",
issn = "0138-9130",
publisher = "Springer Netherlands",
number = "2",

}

RIS

TY - JOUR

T1 - Measuring the scientific impact of e-research infrastructures

T2 - a citation based approach?

AU - Jonkers, K.

AU - Derrick, G. E.

AU - Lopez-Illescas, C.

AU - Van den Besselaar, P.

PY - 2014/11

Y1 - 2014/11

N2 - 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.

AB - 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.

KW - Citation analysis

KW - Research infrastructure

KW - Evaluation

KW - Bioinformatics

KW - DATABASE

KW - INDICATORS

KW - BEHAVIOR

KW - SCIENCE

KW - TOOLS

KW - MODEL

U2 - 10.1007/s11192-014-1411-7

DO - 10.1007/s11192-014-1411-7

M3 - Journal article

VL - 101

SP - 1179

EP - 1194

JO - Scientometrics

JF - Scientometrics

SN - 0138-9130

IS - 2

ER -