↓ Skip to main content

PCOS-GWAS Susceptibility Variants in THADA, INSR, TOX3, and DENND1A Are Associated With Metabolic Syndrome or Insulin Resistance in Women With PCOS

Overview of attention for article published in Frontiers in endocrinology, April 2020
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
95 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
PCOS-GWAS Susceptibility Variants in THADA, INSR, TOX3, and DENND1A Are Associated With Metabolic Syndrome or Insulin Resistance in Women With PCOS
Published in
Frontiers in endocrinology, April 2020
DOI 10.3389/fendo.2020.00274
Pubmed ID
Authors

Ye Tian, Jingyu Li, Shizhen Su, Yongzhi Cao, Zhao Wang, Shigang Zhao, Han Zhao

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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 95 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 14%
Student > Bachelor 13 14%
Researcher 9 9%
Student > Ph. D. Student 7 7%
Student > Postgraduate 4 4%
Other 6 6%
Unknown 43 45%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 25%
Medicine and Dentistry 12 13%
Nursing and Health Professions 4 4%
Agricultural and Biological Sciences 3 3%
Environmental Science 2 2%
Other 7 7%
Unknown 43 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 May 2020.
All research outputs
#22,771,990
of 25,387,668 outputs
Outputs from Frontiers in endocrinology
#8,340
of 13,025 outputs
Outputs of similar age
#353,613
of 408,688 outputs
Outputs of similar age from Frontiers in endocrinology
#155
of 237 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,025 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 408,688 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 237 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.