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When and how to use bibliometrics as a screening tool for research performance

Schmoch, Ulrich and Schubert, Torben LU (2009) In Science and Public Policy 36(10). p.753-762
Abstract

Scientific performance is often evaluated by bibliometric indicators such as publication counts or citations. But this may neglect other relevant outputs from research units. An optimal evaluation would measure each dimension separately, but this would be costly. Luckily, cluster analyses show that units which specialise in other types of research activities (such as knowledge transfer or education of doctoral students), do not completely ignore publication-related activities. Publication-related outputs can also be disaggregated into quality (measured by citations) and quantity (measured by counts) dimensions. Thus, the performance of research groups can be screened using the Integral Citation (a new bibliometric indicator) which... (More)

Scientific performance is often evaluated by bibliometric indicators such as publication counts or citations. But this may neglect other relevant outputs from research units. An optimal evaluation would measure each dimension separately, but this would be costly. Luckily, cluster analyses show that units which specialise in other types of research activities (such as knowledge transfer or education of doctoral students), do not completely ignore publication-related activities. Publication-related outputs can also be disaggregated into quality (measured by citations) and quantity (measured by counts) dimensions. Thus, the performance of research groups can be screened using the Integral Citation (a new bibliometric indicator) which combines the quality and quantity dimensions. Units at the extremes need to be studied in more detail, to avoid measurement biases.

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author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
bibliometrics, screening instrument, Research priorities
in
Science and Public Policy
volume
36
issue
10
pages
10 pages
publisher
Oxford University Press
external identifiers
  • scopus:75849146274
ISSN
0302-3427
DOI
10.3152/030234209X481978
language
English
LU publication?
no
id
f042986d-b17d-4ff8-b200-82d4f8e15aaa
date added to LUP
2016-05-18 13:34:51
date last changed
2017-05-21 04:50:58
@article{f042986d-b17d-4ff8-b200-82d4f8e15aaa,
  abstract     = {<p>Scientific performance is often evaluated by bibliometric indicators such as publication counts or citations. But this may neglect other relevant outputs from research units. An optimal evaluation would measure each dimension separately, but this would be costly. Luckily, cluster analyses show that units which specialise in other types of research activities (such as knowledge transfer or education of doctoral students), do not completely ignore publication-related activities. Publication-related outputs can also be disaggregated into quality (measured by citations) and quantity (measured by counts) dimensions. Thus, the performance of research groups can be screened using the Integral Citation (a new bibliometric indicator) which combines the quality and quantity dimensions. Units at the extremes need to be studied in more detail, to avoid measurement biases.</p>},
  author       = {Schmoch, Ulrich and Schubert, Torben},
  issn         = {0302-3427},
  keyword      = {bibliometrics,screening instrument,Research priorities},
  language     = {eng},
  number       = {10},
  pages        = {753--762},
  publisher    = {Oxford University Press},
  series       = {Science and Public Policy},
  title        = {When and how to use bibliometrics as a screening tool for research performance},
  url          = {http://dx.doi.org/10.3152/030234209X481978},
  volume       = {36},
  year         = {2009},
}