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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
Knowledge syntheses in medical education: A bibliometric analysis
Lauren A Maggio1, Joseph A Costello2, Candace Norton2
1Uniformed Services University of the Health Sciences, Bethesda, MD, USA. lauren.maggio@usuhs.edu.
Knowledge syntheses in medical education have surged by 2620% from 1999-2019, with systematic reviews being the most common type. This growth enhances the evidence base for medical education research and practice.
Area of Science:
- Medical Education Research
- Bibliometrics
- Knowledge Synthesis
Background:
- Knowledge syntheses are crucial for evidence-based practice in medical education.
- Understanding trends in knowledge synthesis publication is vital for guiding future research.
- The landscape of knowledge synthesis in medical education requires mapping to inform scholarly work.
Purpose of the Study:
- To map the knowledge synthesis landscape in medical education.
- To identify publication venues, synthesis types, citation rates, and altmetric attention.
- To provide a roadmap for future research and educational practice in medical education.
Main Methods:
- Bibliometric analysis of knowledge syntheses published in core medical education journals (1999-2019).
- Data extraction from PubMed, Web of Science, Altmetrics Explorer, and Unpaywall.
- Analysis of 963 knowledge syntheses, including publication venues, types, citations, and altmetric scores.
Main Results:
- A 2620% increase in knowledge syntheses published from 1999 to 2019.
- Systematic reviews (35.4%) and scoping reviews (9.1%) were the most prevalent synthesis types.
- Average citations per synthesis: 53.80; Mean Altmetric Attention Score: 14.12.
Conclusions:
- Significant growth and methodological diversity in knowledge syntheses are evident in medical education.
- Increased publication volume contributes to a stronger evidence base for medical education.
- Social media is increasingly used to disseminate knowledge syntheses, impacting knowledge translation.
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