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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
2 news outlets
twitter
5 X users
patent
1 patent

Readers on

mendeley
103 Mendeley
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Article details
Title
Genetic overlap between endometriosis and endometrial cancer: evidence from cross‐disease genetic correlation and GWAS meta‐analyses
Published in
Cancer Medicine, April 2018
DOI 10.1002/cam4.1445
Pubmed ID
Authors
Abstract

Epidemiological, biological, and molecular data suggest links between endometriosis and endometrial cancer, with recent epidemiological studies providing evidence for an association between a previous diagnosis of endometriosis and risk of endometrial cancer. We used genetic data as an alternative approach to investigate shared biological etiology of these two diseases. Genetic correlation analysis of summary level statistics from genomewide association studies (GWAS) using LD Score regression revealed moderate but significant genetic correlation (rg = 0.23, P = 9.3 × 10-3), and SNP effect concordance analysis provided evidence for significant SNP pleiotropy (P = 6.0 × 10-3) and concordance in effect direction (P = 2.0 × 10-3) between the two diseases. Cross-disease GWAS meta-analysis highlighted 13 distinct loci associated at P ≤ 10-5with both endometriosis and endometrial cancer, with one locus (SNP rs2475335) located within PTPRD associated at a genomewide significant level (P = 4.9 × 10-8, OR = 1.11, 95% CI = 1.07-1.15). PTPRD acts in the STAT3 pathway, which has been implicated in both endometriosis and endometrial cancer. This study demonstrates the value of cross-disease genetic analysis to support epidemiological observations and to identify biological pathways of relevance to multiple diseases.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 19 18%
Student > Ph. D. Student 11 11%
Student > Doctoral Student 9 9%
Student > Bachelor 8 8%
Student > Master 7 7%
Other 19 18%
Unknown 30 29%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 25 24%
Biochemistry, Genetics and Molecular Biology 20 19%
Agricultural and Biological Sciences 14 14%
Computer Science 3 3%
Business, Management and Accounting 2 2%
Other 5 5%
Unknown 34 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 15 March 2024.
All research outputs
#1,970,920
of 30,714,269 outputs
Outputs from Cancer Medicine
#171
of 4,602 outputs
Outputs of similar age
#33,352
of 354,399 outputs
Outputs of similar age from Cancer Medicine
#7
of 119 outputs
Altmetric has tracked 30,714,269 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,602 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 96% 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 354,399 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.