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Knowledge synthesis research: a bibliometric analysis.

Laure Perrier1, David Lightfoot2, M Ryan Kealey3

  • 1Institute of Health, Policy, Management and Evaluation, 155 College Street, Suite 425, Toronto Ontario, M5T 3M6, Canada.

Journal of Clinical Epidemiology
|February 26, 2016
PubMed
Summary
This summary is machine-generated.

Researchers are increasingly publishing on knowledge synthesis methods, but findings are scattered across many journals and authors. This makes locating and evaluating emerging synthesis techniques challenging for users.

Keywords:
BibliometricsMedical subject headingsReview literature as topic

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Area of Science:

  • Bibliometrics
  • Knowledge Synthesis
  • Research Methodology

Background:

  • Emerging knowledge synthesis methods are gaining traction in research.
  • Traditional systematic reviews are excluded to focus on novel approaches.
  • Understanding the publication landscape is crucial for research advancement.

Purpose of the Study:

  • To describe the volume and attributes of original research on emerging knowledge synthesis methods in PubMed.
  • To analyze publication trends and characteristics of studies on knowledge synthesis.
  • To identify leading journals, authors, and relevant indexing terms for these methods.

Main Methods:

  • Bibliometric analysis of PubMed publications.
  • Analysis of publication volume and trends since 2003.
  • Examination of author distribution and journal dispersion.
  • Review of applied Medical Subject Headings (MeSH).

Main Results:

  • A steady increase in publications on knowledge synthesis methods since 2003.
  • Studies are dispersed across numerous journals with no single dominant outlet.
  • A large number of authors contribute, but individually publish limited work on these methods.
  • Commonly applied MeSH terms include 'qualitative research,' 'research design,' 'meta-analysis,' and 'review literature.'

Conclusions:

  • No single journal or author dominates the reporting of knowledge synthesis methods.
  • Inconsistent or missing MeSH terms for specific synthesis methods hinder discoverability.
  • Challenges in locating and appraising emerging knowledge synthesis articles may arise due to these issues.