Tobacco Control: Visualisation of Research Activity Using Density-Equalizing Mapping and Scientometric Benchmarking Procedures

Bianca Kusma, Cristian Scutaru, David Quarcoo, Tobias Welte, Tanja C. Fischer and Beatrix Groneberg-Kloft
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Bianca Kusma: Department of Information Science, Institute of Occupational Medicine, Charité-Universitätsmedizin Berlin, Free University Berlin and Humboldt-University Berlin, Berlin, Germany
Cristian Scutaru: Department of Information Science, Institute of Occupational Medicine, Charité-Universitätsmedizin Berlin, Free University Berlin and Humboldt-University Berlin, Berlin, Germany
David Quarcoo: Department of Information Science, Institute of Occupational Medicine, Charité-Universitätsmedizin Berlin, Free University Berlin and Humboldt-University Berlin, Berlin, Germany
Tobias Welte: Department of Respiratory Medicine, Hannover Medical School, Hannover, Germany
Tanja C. Fischer: Allergy-Centre-Charité, Department of Dermatology and Allergy, Charité-Universitätsmedizin Berlin, Free University Berlin and Humboldt-University Berlin, Berlin, Germany
Beatrix Groneberg-Kloft: Department of Respiratory Medicine, Hannover Medical School, Hannover, Germany

IJERPH, 2009, vol. 6, issue 6, 1-14

Abstract: Background : Tobacco smoking continues to be a major preventable cause of death and disease and therefore tobacco control research is extremely important. However, research in this area is often hampered by a lack in funding and there is a need for scientometric techniques to display research efforts. Methods : The present study combines classical bibliometric tools with novel scientometric and visualizing techniques in order to analyse and categorise research in the field of tobacco control. Results : All studies related to tobacco control and listed in the ISI database since 1900 were identified by the use of defined search terms.Using bibliometric approaches, a continuous increase in qualitative markers such as collaboration numbers or citations were found for tobacco control research. The combination with density equalizing mapping revealed a distinct global pattern of research productivity and citation activity. Radar chart techniques were used to visualize bi- and multilateral research cooperation and institutional cooperation. Conclusions : The present study supplies a first scientometricapproach that visualises research activity in the field of tobacco control. It provides data that can be used for funding policy and the identification of research clusters.

Keywords: tobacco control; scientometrics; density equalizing mapping (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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