Cited by 40scientometrics and bibliometrics researchLibrary Science and Information SystemsPsychology Research and Bibliometrics

Field Classification of Publications in Dimensions: A First Case Study Testing Its Reliability and Validity

Bornmann, Lutz·2018·Scientometrics

Integrity signals

Registry

Crossref · 10.1007/s11192-018-2855-y

Cites

5 of 5 references verified0 citation errors · 0 not checkable

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  • Due to its recent introduction, relatively little is known regarding Dimensions' comprehensiveness and validity as a reliable bibliographic data source.

    “However, due to its recent introduction, relatively little is known regarding its comprehensiveness and validity as a reliable bibliographic data source, as the exploring of these features has only just began in the scientometric community [32,37-40].”

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Authors
Bornmann, L.
Affiliations
Max Planck Society (DE)
Corresponding author
Bornmann, Lutz
Venue
Scientometrics
Published
2018-07-13
Volume
117
Issue
1
Pages
637-640
ISSN
  • 0138-9130 (ISSN-L)
  • 1588-2861
OpenAlex
W2883553537
Cited by
40
References
5
Citations by year
2026: 1 · 2025: 4 · 2024: 8 · 2023: 3 · 2022: 10 · 2021: 8 · 2020: 2 · 2019: 3 · 2018: 1
FWCI
2.67
Type
journal article
Language
en
Open access
closed
Locations
  • Scientometrics (publishedVersion)
  • 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 › Library Science and Information Systems
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
Keywords
dimensions, field classification, research data infrastructure, machine learning, publication classification, reliability statistics, validity, bibliographic metadata

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.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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