Article Text
Abstract
Aims Pathology education is a core component of medical training, and its literature is critical for refining educational modalities. We performed a cross-sectional bibliometric analysis to explore publications on pathology education, focusing on new medical education technologies.
Methods The analysis identified 64 pathology journals and 53 keywords. Relevant articles were collected using a web application, PaperScraper, developed to accelerate literature search. Citation data were collected from multiple sources. Descriptive statistics, with time period analysis, were performed using Microsoft Excel and visualised with Flourish Studio. Two article groups were further investigated with a bibliometric software, VOSViewer, to establish co-authorship and keyword relationships.
Results 8946 citations were retrieved from 905 selected articles. Most articles were published in the last decade (447, 49.4%). The top journals were Archives of Pathology & Laboratory Medicine (184), Human Pathology (122) and the American Journal of Clinical Pathology (117). The highest number of citations was found for Human Pathology (2120), followed by Archives of Pathology & Laboratory Medicine (2098) and American Journal of Clinical Pathology (1142). Authors with different backgrounds had the greatest number of articles and citations. 12 co-authorship, 3 keyword and 8 co-citation clusters were found for the social media/online resources group, 8 co-authorship, 4 keyword and 7 co-citation clusters for the digital pathology/virtual microscopy/mobile technologies group.
Conclusions The analysis revealed a significant increase in publications over time. The emergence of digital teaching and learning resources played a major role in this growth. Overall, these findings underscore the transformative potential of technology in pathology education.
- education
- information technology
- education, medical
Data availability statement
All data relevant to the study are included in the article or uploaded as online supplemental information.
Statistics from Altmetric.com
Data availability statement
All data relevant to the study are included in the article or uploaded as online supplemental information.
Footnotes
Handling editor Runjan Chetty.
Twitter @atman_ci, @nicole_bussola, @HassellLewis, @trkiehl, @schukowpathdoc, @NormanZerbe, @MattiaBarbares1, @Path_Matt, @@vitopuntocom, @@Melanchocyte, @@ahsanuitis, @SAMBITKMohanty1
Contributors LC: guarantor for the overall content. LC, NB and KM: project conceptualisation, data analysis, data interpretation, writing original draft, manuscript review, project supervision and review and approval of the final manuscript. LAH, RK, GH and FP: research investigation, project conceptualisation, data analysis, data interpretation, writing original draft, manuscript review and review and approval of the final manuscript. CS, EM and EA: research investigation, project conceptualisation, data analysis, data interpretation. NZ, ET, MB, MC, VC, MA and SKM: study resources and review and approval of the final manuscript.
Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests None declared.
Provenance and peer review Not commissioned; externally peer reviewed.
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