Professional and Citizen Bibliometrics: Complementarities and Ambivalences in the Development and Use of Indicators—a State-of-the-Art Report
Open accessAbstract
Bibliometric indicators such as journal impact factors,h-indices, and total citation counts are algorithmic artifacts that can be used in research evaluation and management. These artifacts have no meaning by themselves, but receive their meaning from attributions in institutional practices. We distinguish four main stakeholders in these practices: (1) producers of bibliometric data and indicators; (2) bibliometricians who develop and test indicators; (3) research managers who apply the indicators; and (4) the scientists being evaluated with potentially competing career interests. These different positions may lead to different and sometimes conflicting perspectives on the meaning and value of the indicators. The indicators can thus be considered as boundary objects which are socially constructed in translations among these perspectives. This paper proposes an analytical clarification by listing an informed set of (sometimes unsolved) problems in bibliometrics which can also shed light on the tension between simple but invalid indicators that are widely used (e.g., the h-index) and more sophisticated indicators that are not used or cannot be used in evaluation practices because they are not transparent for users, cannot be calculated, or are difficult to interpret.
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The quality of data is very important, especially in performing bibliometric analyses.
“However, while it is not arguable that comprehensiveness of coverage is essential for any task, the quality of data is also very important, especially in performing bibliometric analyses [4,40].”
From Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World (2021) · cites this paper as [4]
Most DBs users do not have the necessary competence to make the most suitable choice and need a trusted source of DB's descriptive information.
“Yet, most of the DBs users do not have the necessary competence to make the most suitable choice and, therefore, need a trusted source of DB's descriptive information [4,25].”
From Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World (2021) · cites this paper as [4]
Discrepancies in publication metadata, source information, or other inconsistencies in bibliographic databases complicate analysis and can negatively affect the accuracy and reliability of obtained results.
“all of the discrepancies in the publication metadata, source information, or other inconsistencies occurring in the DBs not only complicate analysis and other tasks, but can also negatively affect the accuracy and reliability of the obtained results [4,61,95].”
From Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World (2021) · cites this paper as [4]
Only a minority of stakeholders employing bibliometric indicators are adequately familiar with their meaning and appropriate use.
“Yet, only a minority of stakeholders employing bibliometric indicators are adequately familiar with their meaning and appropriate use [2,4,5,7].”
From Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World (2021) · cites this paper as [4]
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Self-citation
- Authors
- Leydesdorff, L., Wouters, P., & Bornmann, L.
- Affiliations
- Leiden University (NL)
- Max Planck Society (DE)
- Venue
- Scientometrics
- Published
- 2016-10-03
- Volume
- 109
- Issue
- 3
- Pages
- 2129-2150
- ISSN
- 0138-9130 (ISSN-L)
- 1588-2861
- PMC
- PMC5124044
- OpenAlex
- W2523550674
- Cited by
- 173
- References
- 95
- Citations by year
- 2026: 12 · 2025: 14 · 2024: 18 · 2023: 14 · 2022: 22 · 2021: 25 · 2020: 12 · 2019: 24 · 2018: 15 · 2017: 16 · 2016: 1
- FWCI
- 17.42
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Scientometrics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UvA-DARE (University of Amsterdam) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Leiden Repository (Leiden University) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- 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
- bibliometric indicators, research evaluation, boundary objects, h-index, journal impact factor, citation counts, research management, stakeholder perspectives, social construction of meaning, indicator validity, scientific careers
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.
What counts as a claim ›How we measure confidence ›How we check this ›
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