ArticleHealthcare (Basel, Switzerland)2023
E-Learning Performance Evaluation in Medical Education-A Bibliometric and Visualization Analysis.
Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Introducing virtual microscopy at the University of Ghana during the COVID-19 pandemic-Identifying and overcoming obstacles in a low-resource learning environment.Anatomical sciences education · 2026Article
- Research Trends in Medical and Dental Education (2015-2024) Based on Author Keywords: Commonalities, Differences, and Opportunities for Collaboration.Journal of dental education · 2026Review
- The Historical Evolution of Microlearning in Health Professions Education: Bibliometric Analysis.JMIR medical education · 2026Article
- Scholarly Research Output and Trends in Medical Education from the Arab Region (2005-2024): A Bibliometric Analysis.Advances in medical education and practice · 2026Article
- Health Care Professionals' Knowledge, Attitude, Practice, and Infrastructure Accessibility for e-Learning in Ethiopia: Cross-Sectional Study.JMIR medical education · 2025Article
- Development and validation of a comprehensive tool to study the various elements influencing the utilization of E-learning among undergraduate health professions students.BMC medical education · 2025Article
- Domination of Early Adopters: A Bibliometric Review of Team-Based Learning Research in Health Professions Education 2005-2024.Perspectives on medical education · 2025Review
- Mentimeter Improves Student Engagement in Online Clinical Anatomy Revision Sessions: A Programme Evaluation.Cureus · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Performance evaluation is one of the most critical components in assuring the comprehensive development of e-learning in medical education (e-LMED). Although several studies evaluate performance in e-LMED, no study presently maps the rising scientific knowledge and evolutionary patterns that establish a solid background to investigate and quantify the efficacy of the evaluation of performance in e-LMED. Therefore, this study aims to quantify scientific productivity, identify the key terms and analyze the extent of research collaboration in this domain. We searched the SCOPUS database using search terms informed by the PICOS model, and a total of 315 studies published between 1991 and 2022 were retrieved. Performance analysis, science mapping, network analysis, and visualization were performed using R Bibliometrix, Biblioshiny, and VOSviewer packages. Findings reveal that authors are actively publishing and collaborating in this domain, which experienced a sporadic publication increase in 2021. Most of the top publications, collaborations, countries, institutions, and journals are produced in first-world countries. In addition, studies evaluating performance in e-LMED evaluated constructs such as efficacy, knowledge gain, student perception, confidence level, acceptability, feasibility, usability, and willingness to recommend e-learning, mainly using pre-tests and post-tests experimental design methods. This study can help researchers understand the existing landscape of performance evaluation in e-LMED and could be used as a background to investigate and quantify the efficacy of the evaluation of e-LMED.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.