Field Classification of Publications in Dimensions: A First Case Study Testing Its Reliability and Validity
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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].”
From Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World (2021) · cites this paper as [38]
Cites
Fortunato, S., Bergstrom, C. T., Börner, K., Evans, J. A., Helbing, D., Milojević, S., Petersen, A. M., Radicchi, F., Sinatra, R., Uzzi, B., et al. (2018) · Science · doi:10.1126/science.aao0185 · Cited by 1,497 · cited 1× · see citing works
“Thus, my research is in the area of sociology of science or science of science (see the overview of this area by Fortunato et al. 2018).”
Bornmann, L., Mutz, R., Neuhaus, C., & Daniel, H. (2007) · Ethics in Science and Environmental Politics · doi:10.3354/esep00084 · Cited by 351 · see citing works
Self-citationDimensions: A competitor to Scopus and the Web of Science?
Thelwall, M. (2018) · Journal of Informetrics · doi:10.1016/j.joi.2018.03.006 · Cited by 294 · see citing works
Dimensions: redescubriendo el ecosistema de la información científica
Orduña‐Malea, E., & López‐Cózar, E. D. (2018) · El Profesional de la Informacion · doi:10.3145/epi.2018.mar.21 · Cited by 71 · see citing works
A Guide to the Dimensions Data Approach
Bode, C., Herzog, C., Hook, D. W., & McGrath, R. (2018) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.3229756 · Cited by 25 · see citing works
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Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World
Pranckutė, R. (2021) · Publications · doi:10.3390/publications9010012 · Cited by 2,696 · see citing works
Visser, M., van Eck, N. J., & Waltman, L. (2021) · Quantitative Science Studies · doi:10.1162/qss_a_00112 · Cited by 865 · see citing works
Dimensions: Bringing down barriers between scientometricians and data
Herzog, C., Hook, D., & Konkiel, S. (2020) · Quantitative Science Studies · doi:10.1162/qss_a_00020 · Cited by 219 · see citing works
Search where you will find most: Comparing the disciplinary coverage of 56 bibliographic databases
Gusenbauer, M. (2022) · Scientometrics · doi:10.1007/s11192-022-04289-7 · Cited by 211 · see citing works
Guerrero‐Bote, V. P., Chinchilla‐Rodríguez, Z., Mendoza, A., & Anegón, F. D. M. (2021) · Frontiers in Research Metrics and Analytics · doi:10.3389/frma.2020.593494 · Cited by 133 · see citing works
Virtual Laboratories- A historical review and bibliometric analysis of the past three decades
Raghu Raman, R., Achuthan, K., Nair, V. K., & Nedungadi, P. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-11058-9 · Cited by 98 · see citing works
Achuthan, K., Nair, V. K., Kowalski, R. M., Ramanathan, S., & Raghu Raman, R. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107566 · Cited by 100 · see citing works
Stahlschmidt, S., & Stephen, D. M. (2022) · Scientometrics · doi:10.1007/s11192-022-04309-6 · Cited by 56 · see citing works
COVID-19 and the scientific publishing system: growth, open access and scientific fields
Nane, G. F., Robinson‐García, N., Schalkwyk, F. B. V., & Torres‐Salinas, D. (2022) · Scientometrics · doi:10.1007/s11192-022-04536-x · Cited by 45 · see citing works
Understanding the Bibliometric Patterns of Publications in IEEE Access
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Examining the quality of the corresponding authorship field in Web of Science and Scopus
Chinchilla‐Rodríguez, Z., Costas, R., Robinson‐García, N., & Larivière, V. (2024) · Quantitative Science Studies · doi:10.1162/qss_a_00288 · Cited by 36 · see citing works
Singh, P., Piryani, R., Singh, V. K., & Pinto, D. (2020) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-179906 · Cited by 31 · see citing works
Herzog, C., & Lunn, B. K. (2018) · Scientometrics · doi:10.1007/s11192-018-2854-z · Cited by 26 · see citing works
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Sīle, L., Guns, R., Vandermoere, F., Sivertsen, G., & Engels, T. (2021) · Quantitative Science Studies · doi:10.1162/qss_a_00110 · Cited by 20 · see citing works
Zhang, L., Sun, B., Shu, F., & Huang, Y. (2022) · Scientometrics · doi:10.1007/s11192-022-04352-3 · Cited by 19 · see citing works
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Jaccard Index-Based Assessing the Similarity of Research Fields in Dimensions.
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Scaling Scientometrics: Dimensions on Google BigQuery as an Infrastructure for Large-Scale Analysis
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- Authors
- Bornmann, L.
- Affiliations
- Max Planck Society (DE)
- Corresponding author
- Bornmann, Lutz
- ORCID
- 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
- Licence
- www.springer.com/tdm (tdm)
- 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
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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.
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