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Systematic evaluation of coding variation identifies a candidate causal variant in TM6SF2 influencing total cholesterol and myocardial infarction risk

Overview of attention for article published in Nature Genetics, March 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
9 news outlets
blogs
4 blogs
twitter
8 X users
facebook
1 Facebook page

Citations

dimensions_citation
261 Dimensions

Readers on

mendeley
179 Mendeley
citeulike
5 CiteULike
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Title
Systematic evaluation of coding variation identifies a candidate causal variant in TM6SF2 influencing total cholesterol and myocardial infarction risk
Published in
Nature Genetics, March 2014
DOI 10.1038/ng.2926
Pubmed ID
Authors

Oddgeir L Holmen, He Zhang, Yanbo Fan, Daniel H Hovelson, Ellen M Schmidt, Wei Zhou, Yanhong Guo, Ji Zhang, Arnulf Langhammer, Maja-Lisa Løchen, Santhi K Ganesh, Lars Vatten, Frank Skorpen, Håvard Dalen, Jifeng Zhang, Subramaniam Pennathur, Jin Chen, Carl Platou, Ellisiv B Mathiesen, Tom Wilsgaard, Inger Njølstad, Michael Boehnke, Y Eugene Chen, Gonçalo R Abecasis, Kristian Hveem, Cristen J Willer

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Germany 1 <1%
Canada 1 <1%
Belgium 1 <1%
Mexico 1 <1%
Greece 1 <1%
Spain 1 <1%
Unknown 170 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 48 27%
Student > Ph. D. Student 34 19%
Student > Master 15 8%
Student > Doctoral Student 13 7%
Other 13 7%
Other 32 18%
Unknown 24 13%
Readers by discipline Count As %
Medicine and Dentistry 52 29%
Agricultural and Biological Sciences 49 27%
Biochemistry, Genetics and Molecular Biology 28 16%
Immunology and Microbiology 3 2%
Nursing and Health Professions 3 2%
Other 7 4%
Unknown 37 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 85. 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 22 March 2014.
All research outputs
#510,670
of 25,837,817 outputs
Outputs from Nature Genetics
#1,028
of 7,639 outputs
Outputs of similar age
#4,418
of 239,293 outputs
Outputs of similar age from Nature Genetics
#9
of 74 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has done well, scoring higher than 86% 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 239,293 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 97% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.