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Genetic and epigenetic studies of adiposity and cardiometabolic disease

Overview of attention for article published in Genome Medicine, September 2017
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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 (86th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

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26 X users

Citations

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15 Dimensions

Readers on

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50 Mendeley
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Title
Genetic and epigenetic studies of adiposity and cardiometabolic disease
Published in
Genome Medicine, September 2017
DOI 10.1186/s13073-017-0474-5
Pubmed ID
Authors

Michael V. Holmes, Sara L. Pulit, Cecilia M. Lindgren

Abstract

Over 300 million adults are obese, but little is known about the impact of obesity on cardiovascular health. We discuss recent genetic and epigenetic studies of adiposity that indicate a causal role for general and central adiposity in cardiometabolic disease, and highlight potential mechanisms including insulin resistance and gene expression.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 16%
Student > Ph. D. Student 7 14%
Researcher 4 8%
Student > Doctoral Student 4 8%
Student > Bachelor 4 8%
Other 11 22%
Unknown 12 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 20%
Medicine and Dentistry 10 20%
Agricultural and Biological Sciences 6 12%
Computer Science 4 8%
Nursing and Health Professions 3 6%
Other 5 10%
Unknown 12 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 12 October 2017.
All research outputs
#2,232,939
of 23,322,258 outputs
Outputs from Genome Medicine
#507
of 1,457 outputs
Outputs of similar age
#44,406
of 319,082 outputs
Outputs of similar age from Genome Medicine
#11
of 23 outputs
Altmetric has tracked 23,322,258 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,457 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one has gotten more attention than average, scoring higher than 65% 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 319,082 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 23 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 56% of its contemporaries.