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An epigenetic clock analysis of race/ethnicity, sex, and coronary heart disease

Overview of attention for article published in Genome Biology, August 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#11 of 4,489)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
42 news outlets
blogs
13 blogs
twitter
114 X users
facebook
10 Facebook pages
wikipedia
5 Wikipedia pages
reddit
1 Redditor

Citations

dimensions_citation
551 Dimensions

Readers on

mendeley
570 Mendeley
citeulike
1 CiteULike
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Title
An epigenetic clock analysis of race/ethnicity, sex, and coronary heart disease
Published in
Genome Biology, August 2016
DOI 10.1186/s13059-016-1030-0
Pubmed ID
Authors

Steve Horvath, Michael Gurven, Morgan E. Levine, Benjamin C. Trumble, Hillard Kaplan, Hooman Allayee, Beate R. Ritz, Brian Chen, Ake T. Lu, Tammy M. Rickabaugh, Beth D. Jamieson, Dianjianyi Sun, Shengxu Li, Wei Chen, Lluis Quintana-Murci, Maud Fagny, Michael S. Kobor, Philip S. Tsao, Alexander P. Reiner, Kerstin L. Edlefsen, Devin Absher, Themistocles L. Assimes

Abstract

Epigenetic biomarkers of aging (the "epigenetic clock") have the potential to address puzzling findings surrounding mortality rates and incidence of cardio-metabolic disease such as: (1) women consistently exhibiting lower mortality than men despite having higher levels of morbidity; (2) racial/ethnic groups having different mortality rates even after adjusting for socioeconomic differences; (3) the black/white mortality cross-over effect in late adulthood; and (4) Hispanics in the United States having a longer life expectancy than Caucasians despite having a higher burden of traditional cardio-metabolic risk factors. We analyzed blood, saliva, and brain samples from seven different racial/ethnic groups. We assessed the intrinsic epigenetic age acceleration of blood (independent of blood cell counts) and the extrinsic epigenetic aging rates of blood (dependent on blood cell counts and tracks the age of the immune system). In blood, Hispanics and Tsimane Amerindians have lower intrinsic but higher extrinsic epigenetic aging rates than Caucasians. African-Americans have lower extrinsic epigenetic aging rates than Caucasians and Hispanics but no differences were found for the intrinsic measure. Men have higher epigenetic aging rates than women in blood, saliva, and brain tissue. Epigenetic aging rates are significantly associated with sex, race/ethnicity, and to a lesser extent with CHD risk factors, but not with incident CHD outcomes. These results may help elucidate lower than expected mortality rates observed in Hispanics, older African-Americans, and women.

X Demographics

X Demographics

The data shown below were collected from the profiles of 114 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 570 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
United Kingdom 2 <1%
Germany 1 <1%
Brazil 1 <1%
New Zealand 1 <1%
Switzerland 1 <1%
Iran, Islamic Republic of 1 <1%
Singapore 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 557 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 116 20%
Researcher 97 17%
Student > Bachelor 56 10%
Student > Master 51 9%
Student > Postgraduate 37 6%
Other 108 19%
Unknown 105 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 139 24%
Agricultural and Biological Sciences 87 15%
Medicine and Dentistry 65 11%
Psychology 26 5%
Social Sciences 23 4%
Other 89 16%
Unknown 141 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 471. 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 06 January 2024.
All research outputs
#57,757
of 25,559,053 outputs
Outputs from Genome Biology
#11
of 4,489 outputs
Outputs of similar age
#1,195
of 369,836 outputs
Outputs of similar age from Genome Biology
#2
of 55 outputs
Altmetric has tracked 25,559,053 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 4,489 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 99% 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 369,836 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 55 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 98% of its contemporaries.