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Endometriosis risk alleles at 1p36.12 act through inverse regulation of CDC42 and LINC00339.

Overview of attention for article published in Human Molecular Genetics, September 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

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9 X users

Citations

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27 Dimensions

Readers on

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41 Mendeley
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Title
Endometriosis risk alleles at 1p36.12 act through inverse regulation of CDC42 and LINC00339.
Published in
Human Molecular Genetics, September 2016
DOI 10.1093/hmg/ddw320
Pubmed ID
Authors

Joseph E Powell, Jenny N Fung, Konstantin Shakhbazov, Yadav Sapkota, Nicole Cloonan, Gibran Hemani, Kristine M Hillman, Susanne Kaufmann, Hien T Luong, Lisa Bowdler, Jodie N Painter, Sarah J Holdsworth-Carson, Peter M Visscher, Marcel E Dinger, Martin Healey, Dale R Nyholt, Juliet D French, Stacey L Edwards, Peter A W Rogers, Grant W Montgomery

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 17%
Student > Doctoral Student 6 15%
Student > Ph. D. Student 5 12%
Professor > Associate Professor 3 7%
Student > Bachelor 2 5%
Other 8 20%
Unknown 10 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 39%
Medicine and Dentistry 7 17%
Agricultural and Biological Sciences 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Neuroscience 1 2%
Other 1 2%
Unknown 12 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 30 October 2019.
All research outputs
#7,155,664
of 26,017,215 outputs
Outputs from Human Molecular Genetics
#3,582
of 8,505 outputs
Outputs of similar age
#99,365
of 332,773 outputs
Outputs of similar age from Human Molecular Genetics
#38
of 93 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 8,505 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 57% 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 332,773 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 93 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 59% of its contemporaries.