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A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease

Overview of attention for article published in Nature Genetics, September 2015
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
17 news outlets
blogs
2 blogs
twitter
98 X users
patent
1 patent
facebook
1 Facebook page
wikipedia
9 Wikipedia pages
googleplus
1 Google+ user
video
1 YouTube creator

Citations

dimensions_citation
2084 Dimensions

Readers on

mendeley
1185 Mendeley
citeulike
9 CiteULike
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Title
A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease
Published in
Nature Genetics, September 2015
DOI 10.1038/ng.3396
Pubmed ID
Abstract

Existing knowledge of genetic variants affecting risk of coronary artery disease (CAD) is largely based on genome-wide association study (GWAS) analysis of common SNPs. Leveraging phased haplotypes from the 1000 Genomes Project, we report a GWAS meta-analysis of ∼185,000 CAD cases and controls, interrogating 6.7 million common (minor allele frequency (MAF) > 0.05) and 2.7 million low-frequency (0.005 < MAF < 0.05) variants. In addition to confirming most known CAD-associated loci, we identified ten new loci (eight additive and two recessive) that contain candidate casual genes newly implicating biological processes in vessel walls. We observed intralocus allelic heterogeneity but little evidence of low-frequency variants with larger effects and no evidence of synthetic association. Our analysis provides a comprehensive survey of the fine genetic architecture of CAD, showing that genetic susceptibility to this common disease is largely determined by common SNPs of small effect size.

X Demographics

X Demographics

The data shown below were collected from the profiles of 98 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 1,185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 <1%
United Kingdom 6 <1%
Netherlands 2 <1%
Finland 2 <1%
France 1 <1%
India 1 <1%
Ireland 1 <1%
Russia 1 <1%
Germany 1 <1%
Other 0 0%
Unknown 1162 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 232 20%
Student > Ph. D. Student 217 18%
Student > Master 118 10%
Student > Bachelor 108 9%
Student > Doctoral Student 66 6%
Other 210 18%
Unknown 234 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 279 24%
Medicine and Dentistry 238 20%
Agricultural and Biological Sciences 175 15%
Computer Science 33 3%
Pharmacology, Toxicology and Pharmaceutical Science 28 2%
Other 144 12%
Unknown 288 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 198. 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 28 January 2024.
All research outputs
#202,651
of 25,837,817 outputs
Outputs from Nature Genetics
#327
of 7,639 outputs
Outputs of similar age
#2,410
of 280,812 outputs
Outputs of similar age from Nature Genetics
#5
of 67 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 99th 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 particularly well, scoring higher than 95% 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 280,812 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 99% of its contemporaries.
We're also able to compare this research output to 67 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 92% of its contemporaries.