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International journal of environmental research and public health
Sep 30, 2014;11 (10): 10215-25.

MRSA: a density-equalizing mapping analysis of the global research architecture.

Johann P Addicks, Stefanie Uibel, Anna-Maria Jensen, Matthias Bundschuh, Doris Klingelhoefer, David A Groneberg
Author Information
  1. Johann P Addicks: Division of Health Economics and Metrics, Institute of Occupational Medicine, Charité-Universitätsmedizin Berlin, Free University Berlin & Humboldt-University Berlin, Thielallee 73, D-14195 Berlin, Germany. jpaddicks@web.de.
  2. Stefanie Uibel: Institute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe Universität Frankfurt, Theodor-Stern-Kai 7, 30590 Frankfurt, Germany. uibel@med.uni-frankfurt.de.
  3. Anna-Maria Jensen: Division of Health Economics and Metrics, Institute of Occupational Medicine, Charité-Universitätsmedizin Berlin, Free University Berlin & Humboldt-University Berlin, Thielallee 73, D-14195 Berlin, Germany. Risikobewertung@uni-frankfurt.de.
  4. Matthias Bundschuh: Institute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe Universität Frankfurt, Theodor-Stern-Kai 7, 30590 Frankfurt, Germany. bundschuh@med.uni-frankfurt.de.
  5. Doris Klingelhoefer: Institute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe Universität Frankfurt, Theodor-Stern-Kai 7, 30590 Frankfurt, Germany. klingelhoefer@med.uni-frankfurt.de.
  6. David A Groneberg: Institute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe Universität Frankfurt, Theodor-Stern-Kai 7, 30590 Frankfurt, Germany. occup-med@med.uni-frankfurt.de.
PMID: 25272080 DOI: 10.3390/ijerph111010215

Abstract

Methicillin-resistant Staphylococcus aureus (MRSA) has evolved as an alarming public health thread due to its global spread as hospital and community pathogen. Despite this role, a scientometric analysis has not been performed yet. Therefore, the NewQIS platform was used to conduct a combined density-equalizing mapping and scientometric study. As database, the Web of Science was used, and all entries between 1961 and 2007 were analyzed. In total, 7671 entries were identified. Density equalizing mapping demonstrated a distortion of the world map for the benefit of the USA as leading country with a total output of 2374 publications, followed by the UK (1030) and Japan (862). Citation rate analysis revealed Portugal as leading country with a rate of 35.47 citations per article, followed by New Zealand and Denmark. Country cooperation network analyses showed 743 collaborations with US-UK being most frequent. Network citation analyses indicated the publications that arose from the cooperation of USA and France as well as USA and Japan as the most cited (75.36 and 74.55 citations per collaboration article, respectively). The present study provides the first combined density-equalizing mapping and scientometric analysis of MRSA research. It illustrates the global MRSA research architecture. It can be assumed that this highly relevant topic for public health will achieve even greater dimensions in the future.

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MeSH Term

Bibliometrics
Global Health
Humans
International Cooperation
Methicillin-Resistant Staphylococcus aureus
Staphylococcal Infections
Journal Article

Word Cloud

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