↓ Skip to main content

What the Transcriptome of the Eutopic Endometrium from Women with Endometriosis tells us about the Disease Pathophysiology: A Brief Reflection

Overview of attention for article published in Revista Brasileira de Ginecologia e Obstetrícia / RBGO Gynecology and Obstetrics, October 2020
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
6 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
What the Transcriptome of the Eutopic Endometrium from Women with Endometriosis tells us about the Disease Pathophysiology: A Brief Reflection
Published in
Revista Brasileira de Ginecologia e Obstetrícia / RBGO Gynecology and Obstetrics, October 2020
DOI 10.1055/s-0040-1713807
Pubmed ID
Authors

Omero Benedicto Poli-Neto, Juliana Meola, Julio Cesar Rosa-e-Silva

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 17%
Student > Doctoral Student 1 17%
Student > Ph. D. Student 1 17%
Student > Master 1 17%
Student > Postgraduate 1 17%
Other 0 0%
Unknown 1 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 17%
Nursing and Health Professions 1 17%
Agricultural and Biological Sciences 1 17%
Medicine and Dentistry 1 17%
Unknown 2 33%