Endometriosis and its global research architecture: an in-depth density-equalizing mapping analysis

BMC Womens Health. 2016 Sep 21;16(1):64. doi: 10.1186/s12905-016-0336-0.


Background: Endometriosis is one of the most common gynecological diseases. It is still a chameleon in many aspects and urges intense research activities in the fields of diagnosis, therapy and prevention. Despite the need to foster research in this area, no in-depth analysis of the global architecture of endometriosis research exists yet.

Methods: We here used the NewQIS platform to conduct a density equalizing mapping study, using the Web of Science as database with endometriosis related entries between 1900 and 2009. Density equalizing maps of global endometriosis research encompassing country-specific publication activities, and semi-qualitative indices such as country specific citations, citation rates, h-Indices were created.

Results: In total, 11,056 entries related to endometriosis were found. The USA was leading the field with 3705 publications followed by the United Kingdom (952) and Japan (846). Concerning overall citations and country-specific h-Indices, the USA again was the leading nation with 74,592 citations and a modified h-Index of 103, followed by the UK with 15,175 citations (h-Index 57). Regarding the citation rate, Sweden and Belgium were at top positions with rates of 22.46 and 22.26, respectively. Concerning collaborative studies, there was a steep increase in numbers present; analysis of the chronological evolution indicated a strong increase in international collaborations in the past 10 years.

Conclusions: This study is the first analysis that illustrates the global endometriosis research architecture. It shows that endometriosis research is constantly gaining importance but also underlines the need for further efforts and investments to foster research and ultimately improve endometriosis management on a global scale.

Keywords: Density equalizing; Endometriosis; Mapping; Research architecture.

MeSH terms

  • Bibliometrics*
  • Biomedical Research / statistics & numerical data*
  • Databases, Factual
  • Endometriosis*
  • Female
  • Geographic Mapping*
  • Global Health / statistics & numerical data*
  • Humans
  • Population Density