The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Application of bibliometrics in medicine: a historical bibliometrics analysis
Abstract
Background: The application of bibliometrics in medicine enables one to analyse vast amounts of publications and their production patterns on macroscopic and microscopic levels. Objectives: The aim of the study was to analyse the historical perspective of research literature production regarding application of bibliometrics in medicine. Methods: Publications related to application of bibliometrics in medicine from 1970 to 2018 were harvested from the Scopus bibliographic database. Reference Publication Year Spectroscopy was triangulated with the VOSViewer to identify historical roots and evolution of topics and clinical areas. Results: The search resulted in 6557 publications. The literature production trend was positive. Historical roots analysis identified 33 historical roots and 16 clinical areas where bibliometrics was applied. Discussion: The increase in productivity in application of bibliometrics in medicine might be attributed to increased use of quantitative metrics in research evaluation, publish or perish phenomenon and the increased use of evidence‐based medicine. Conclusion: The trend of the literature production was positive. Medicine was in the forefront of knowledge development in bibliometrics. reference publication year spectroscopy proved to be an accurate method which was able to identify most of the historical roots.
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Citations
Cites
Software survey: VOSviewer, a computer program for bibliometric mapping
van Eck, N. J., & Waltman, L. (2010) · Scientometrics · doi:10.1007/s11192-009-0146-3 · Cited by 21,484
An index to quantify an individual’s scientific research output
Hirsch, J. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0507655102 · Cited by 11,669
Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses
Falagas, M. E., Pitsouni, E. I., Malietzis, G. A., & Pappas, G. (2008) · The FASEB Journal · doi:10.1096/fj.07-9492lsf · Cited by 5,039
Price, D. J. D. S. (1963) · Columbia University Press eBooks · doi:10.7312/pric91844 · Cited by 4,264
Statistical bibliography or bibliometrics
Pritchard, A. E. (1969) · Journal of Documentation · Cited by 3,298
Bibliographic coupling between scientific papers
Kessler, M. M. (1963) · American Documentation · doi:10.1002/asi.5090140103 · Cited by 2,855
Garfield, E. (1972) · Science · doi:10.1126/science.178.4060.471 · Cited by 2,788
The History and Meaning of the Journal Impact Factor
Garfield, E. (2006) · JAMA · doi:10.1001/jama.295.1.90 · Cited by 2,770
Why the impact factor of journals should not be used for evaluating research
Seglen, P. O. (1997) · BMJ · doi:10.1136/bmj.314.7079.497 · Cited by 2,447
Citation Indexes for Science: A New Dimension in Documentation through Association of Ideas
Garfield, E. (1955) · Science · doi:10.1126/science.122.3159.108 · Cited by 2,334
Cited by
Montazeri, A., Mohammadi, S., M.Hesari, P., Ghaemi, M., Riazi, H., & Sheikhi-Mobarakeh, Z. (2023) · Systematic Reviews · doi:10.1186/s13643-023-02410-2 · Cited by 433
From past to future: Bibliometric analysis of global research productivity on nomogram (2000–2021)
Wang, X., Lu, J., Song, Z., Zhou, Y., Liu, T., & Zhang, D. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.997713 · Cited by 140
Wondimagegn, D., Whitehead, C. R., Cartmill, C., Rodrigues, E., Correia, A., Salessi Lins, T., & Costa, M. J. (2023) · BMJ Global Health · doi:10.1136/bmjgh-2022-011656 · Cited by 66
Bougioukas, K. I., Vounzoulaki, E., Mantsiou, C. D., Papanastasiou, G. D., Savvides, E. D., Ntzani, E. E., & Haidich, A.-B. (2021) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2021.03.019 · Cited by 46
Characteristics and trends in acceptance and commitment therapy research: A bibliometric analysis
Li, Z., Shang, W., Wang, C., Yang, K., & Guo, J. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.980848 · Cited by 36
“Recently, bibliometric analysis has received increasing attention in various fields (Rixe et al., 2016; Kokol et al., 2020; Wg et al., 2021; You et al., 2021; Zhang et al., 2022).”
Background
Metadata
- Authors
- Kokol, P., Blažun Vošner, H., & Završnik, J.
- Venue
- Health Information & Libraries Journal
- Publisher
- Wiley
- Published
- 2020-01-29
- Volume
- 38
- Issue
- 2
- Pages
- 125-138
- ISSN
- 1471-1834 (ISSN-L)
- 1471-1842
- OpenAlex
- W3003683721
- Cited by
- 486
- References
- 59
- FWCI
- 27.68
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Application of bibliometrics in medicine: a historical bibliometrics analysis. https://app.cochat.ai/papers/10.1111/hir.12295
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- Kokol, P., Blažun Vošner, H., & Završnik, J. (2021). Application of bibliometrics in medicine: a historical bibliometrics analysis. Health Information & Libraries Journal. https://doi.org/10.1111/hir.12295
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
