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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
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Tobacco control: visualisation of research activity using density-equalizing mapping and scientometric benchmarking

Bianca Kusma1, Cristian Scutaru, David Quarcoo

  • 1Department of Information Science, Institute of Occupational Medicine, Charité-Universitätsmedizin Berlin, Free University Berlin and Humboldt-University Berlin, Berlin, Germany. bianca.kusma@charite.de

International Journal of Environmental Research and Public Health
|July 7, 2009
PubMed
Summary

Scientometric techniques visualize tobacco control research efforts, revealing global productivity patterns and collaboration networks. This analysis aids in strategic funding and identifying key research areas for tobacco control initiatives.

Keywords:
density equalizing mappingscientometricstobacco control

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Area of Science:

  • Public Health
  • Bibliometrics
  • Scientometrics

Background:

  • Tobacco smoking is a leading preventable cause of death and disease.
  • Tobacco control research is crucial but often underfunded.
  • Scientometric techniques are needed to effectively display research efforts.

Purpose of the Study:

  • To analyze and categorize tobacco control research using bibliometric and scientometric methods.
  • To visualize global research productivity and collaboration in tobacco control.
  • To provide data for funding policies and identification of research clusters.

Main Methods:

  • Utilized bibliometric tools and novel scientometric and visualization techniques.
  • Analyzed all tobacco control studies in the ISI database since 1900.
  • Employed density equalizing mapping and radar charts for visualization.

Main Results:

  • Demonstrated a continuous increase in qualitative markers like collaboration and citations.
  • Revealed distinct global patterns in research productivity and citation activity.
  • Visualized bi- and multilateral research and institutional cooperation.

Conclusions:

  • Presents the first scientometric approach to visualize tobacco control research activity.
  • Offers data to inform funding policies.
  • Facilitates the identification of significant research clusters in tobacco control.