Cited by 25scientometrics and bibliometrics researchWeb visibility and informetricsPsychology Research and Bibliometrics

Citation characterization and impact normalization in bioinformatics journals

Huang, Hong, Andrews, James, Tang, Jiang·2012·Journal of the American Society for Information Science and Technology

Abstract

Bioinformatics journals publish research findings of intellectual synergies among subfields such as biology, mathematics, and computer science. The objective of this study is to characterize the citation patterns in bioinformatics journals and their correspondent knowledge subfields. Our study analyzed bibliometric data (impact factor, cited‐half‐life, and references‐per‐article) of bioinformatics journals and their related subfields collected from the Journal Citation Reports (JCR). The findings showed that bioinformatics journals' citations are field‐dependent, with scattered patterns in article life span and citing propensity. Bioinformatics journals originally derived from biology‐related subfields have shorter article life spans, more citing on average, and higher impact factors. Those journals, derived from mathematics and statistics, demonstrate converse citation patterns. Journal impact factors were normalized, taking into account the impacts of article life spans and citing propensity. A comparison of these normalized factors to JCR journal impact factors showed rearrangements in the ranking orders of a number of individual journals, but a high overall correlation with JCR impact factors.

Integrity signals

Registry

Crossref · 10.1002/asi.21707

Cites

59 of 59 references verified0 citation errors · 0 not checkable

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  • Journals with international audiences, journals in fast-developing areas such as genetics, biochemistry, and molecular biology, as well as English language and interdisciplinary journals are more likely to be read and cited.

    “Journals with international audiences (Annalingam et al., 2014), journals in fast-developing areas, such as genetics, biochemistry, and molecular biology (Huang et al., 2012), as well as English language (Bornmann et al., 2012) and interdisciplinary journals (Annalingam et al., 2014) are more likely to be read and cited.”

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Authors
Huang, H., Andrews, J., & Tang, J.
Affiliations
  • University of South Florida (US)
  • Chinese Academy of Sciences (CN)
Venue
Journal of the American Society for Information Science and Technology
Publisher
Wiley
Published
2011-11-15
Volume
63
Issue
3
Pages
490-497
ISSN
  • 1532-2882 (ISSN-L)
  • 1532-2890
OpenAlex
W2084058713
Cited by
25
References
59
Citations by year
2023: 1 · 2022: 2 · 2021: 1 · 2020: 2 · 2019: 3 · 2018: 1 · 2017: 1 · 2016: 2 · 2015: 2 · 2014: 4 · 2013: 4 · 2012: 2
FWCI
3.39
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of the American Society for Information Science and Technology (publishedVersion)
  • Digital Commons - University of South Florida (University of South Florida) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
  • Physical Sciences › Computer Science › Information Systems › Web visibility and informetrics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
Keywords
citation patterns, cited half-life, journal impact, field dependence, Journal Citation Reports, journal rankings

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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