Polycystic ovary syndrome: analysis of the global research architecture using density equalizing mapping. Issue 6 (June 2017)

• Record Type: Journal Article
• Authors: Brüggmann, Dörthe; Berges, Lea; Klingelhöfer, Doris; Bauer, Jan; Bendels, Michael; Louwen, Frank; Jaque, Jenny; Groneberg, David A.
• Is Part Of: Reproductive biomedicine online. Volume 34:Issue 6(2017)
• Page Start: 627
• Page End: 638
• Publication Date: 2017-06
• Subjects: Density equalizing mapping -- Diagnosis -- Female health -- PCOS -- Prevention -- Socioeconomic analysis; Human reproductive technology -- Periodicals; Human embryo -- Periodicals; Reproduction -- Periodicals; 616.692
• DOI: 10.1016/j.rbmo.2017.03.010
• Languages: English
• ISSNs: 1472-6483

Abstract

Abstract: Polycystic ovary syndrome (PCOS) is the most common cause of female infertility worldwide. Although the related research output is constantly growing, no detailed global map of the scientific architecture has so far been created encompassing quantitative, qualitative, socioeconomic and gender aspects. We used the NewQIS platform to assess all PCOS-related publications indexed between 1900 and 2014 in the Web of Science, and applied density equalizing mapping projections, scientometric techniques and economic benchmarking procedures. A total of 6261 PCOS-specific publications and 703 international research collaborations were found. The USA was identified as the most active country in total and collaborative research activity. In the socioeconomic analysis, the USA was also ranked first (25.49 PCOS-related publications per gross domestic product [GDP]/capita), followed by the UK, Italy and Greece. When research activity was related to population size, Scandinavian countries and Greece were leading the field. For many highly productive countries, gender analysis revealed a high ratio of female scientists working on PCOS with the exception of Japan. In this study, we have created the first picture of global PCOS research, which largely differs from other gynaecologic conditions and indicates that most related research and collaborations originate from high-income countries.