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A bibliometric study on ageing and reception processes of scientific literature

Glänzel, Wolfgang, Schoepflin, Urs·1995·Journal of Information Science

Abstract

In an exploratory study, the time behaviour of citations to articles of seven journals representing different scientific fields (sociology, psychology, chemistry, general and inter nal medicine, statistics and probability theory) were analysed to establish: (i) differences in ageing and reception speed between social sciences and other science fields, to determine (ii) if there are connections between ageing and reception, and (iii) if deviations are due to fields or individ ual journals. Bibliometric methods and citation-based indi cators were used within a stochastic model. It was found that obsolescence of the social science journals in the set is slower than for the medical and chemistry journals. The behaviour of the mathematical journal is similar to the ones in social sciences. The study suggests that ageing seems to be specific to the field rather than to the individual journal. On the other hand, slow ageing does not necessarily corre spond with slow response. Impact factors based on the usual two years' observation period may therefore be dis torted by deviating ageing behaviour.

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Metadata

Authors
Glänzel, W., & Schoepflin, U.
Venue
Journal of Information Science
Published
1995-02
Volume
21
Issue
1
Pages
37-53
ISSN
  • 0165-5515 (ISSN-L)
  • 1741-6485
OpenAlex
W2029391677
Cited by
231
References
1
FWCI
3.26
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A bibliometric study on ageing and reception processes of scientific literature. https://app.cochat.ai/papers/10.1177/016555159502100104
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Glänzel, W., & Schoepflin, U. (1995). A bibliometric study on ageing and reception processes of scientific literature. Journal of Information Science. https://doi.org/10.1177/016555159502100104

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.