↓ Skip to main content

MUC2polymorphisms are associated with endometriosis development and infertility: a case-control study

Overview of attention for article published in BMC Medical Genomics, March 2012
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
27 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
MUC2polymorphisms are associated with endometriosis development and infertility: a case-control study
Published in
BMC Medical Genomics, March 2012
DOI 10.1186/1471-2350-13-15
Pubmed ID
Authors

Cherry Yin-Yi Chang, Yi Chen, Wu-Chou Lin, Chih-Mei Chen, Chih-Ping Chen, Shan-Chih Lee, Jim Jinn-Chyuan Sheu, Fuu-Jen Tsai

Abstract

Mucins are highly glycosylated proteins protecting and lubricating epithelial surface of respiratory, gastrointestinal and reproductive tracts. Members of the mucin protein family have been suggested to play an important role in development of endometriosis and infertility. This study investigates genetic association of mucin2 (MUC2) with the risk of endometriosis and endometriosis-related infertility.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 15%
Researcher 4 15%
Other 3 11%
Professor 2 7%
Student > Ph. D. Student 2 7%
Other 4 15%
Unknown 8 30%
Readers by discipline Count As %
Medicine and Dentistry 7 26%
Agricultural and Biological Sciences 5 19%
Biochemistry, Genetics and Molecular Biology 3 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 9 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 March 2012.
All research outputs
#16,046,765
of 25,373,627 outputs
Outputs from BMC Medical Genomics
#1,102
of 2,444 outputs
Outputs of similar age
#102,878
of 169,059 outputs
Outputs of similar age from BMC Medical Genomics
#7
of 19 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 51% of its peers.
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 169,059 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.