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Aging

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DNA methylation-based measures of biological age: meta-analysis predicting time to death

Overview of attention for article published in Aging, September 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 2,757)
  • 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
110 news outlets
blogs
10 blogs
twitter
90 tweeters
facebook
6 Facebook pages
wikipedia
3 Wikipedia pages
googleplus
1 Google+ user
reddit
1 Redditor
video
1 video uploader

Citations

dimensions_citation
487 Dimensions

Readers on

mendeley
494 Mendeley
citeulike
1 CiteULike
Title
DNA methylation-based measures of biological age: meta-analysis predicting time to death
Published in
Aging, September 2016
DOI 10.18632/aging.101020
Pubmed ID
Authors

Brian H. Chen, Riccardo E. Marioni, Elena Colicino, Marjolein J. Peters, Cavin K. Ward-Caviness, Pei-Chien Tsai, Nicholas S. Roetker, Allan C. Just, Ellen W. Demerath, Weihua Guan, Jan Bressler, Myriam Fornage, Stephanie Studenski, Amy R. Vandiver, Ann Zenobia Moore, Toshiko Tanaka, Douglas P. Kiel, Liming Liang, Pantel Vokonas, Joel Schwartz, Kathryn L. Lunetta, Joanne M. Murabito, Stefania Bandinelli, Dena G. Hernandez, David Melzer, Michael Nalls, Luke C. Pilling, Timothy R. Price, Andrew B. Singleton, Christian Gieger, Rolf Holle, Anja Kretschmer, Florian Kronenberg, Sonja Kunze, Jakob Linseisen, Christine Meisinger, Wolfgang Rathmann, Melanie Waldenberger, Peter M. Visscher, Sonia Shah, Naomi R. Wray, Allan F. McRae, Oscar H. Franco, Albert Hofman, André G. Uitterlinden, Devin Absher, Themistocles Assimes, Morgan E. Levine, Ake T. Lu, Philip S. Tsao, Lifang Hou, JoAnn E. Manson, Cara L. Carty, Andrea Z. LaCroix, Alexander P. Reiner, Tim D. Spector, Andrew P. Feinberg, Daniel Levy, Andrea Baccarelli, Joyce van Meurs, Jordana T. Bell, Annette Peters, Ian J. Deary, James S. Pankow, Luigi Ferrucci, Steve Horvath

Abstract

Estimates of biological age based on DNA methylation patterns, often referred to as "epigenetic age", "DNAm age", have been shown to be robust biomarkers of age in humans. We previously demonstrated that independent of chronological age, epigenetic age assessed in blood predicted all-cause mortality in four human cohorts. Here, we expanded our original observation to 13 different cohorts for a total sample size of 13,089 individuals, including three racial/ethnic groups. In addition, we examined whether incorporating information on blood cell composition into the epigenetic age metrics improves their predictive power for mortality. All considered measures of epigenetic age acceleration were predictive of mortality (p≤8.2x10(-9)), independent of chronological age, even after adjusting for additional risk factors (p<5.4x10(-4)), and within the racial/ethnic groups that we examined (non-Hispanic whites, Hispanics, African Americans). Epigenetic age estimates that incorporated information on blood cell composition led to the smallest p-values for time to death (p=7.5x10(-43)). Overall, this study a) strengthens the evidence that epigenetic age predicts all-cause mortality above and beyond chronological age and traditional risk factors, and b) demonstrates that epigenetic age estimates that incorporate information on blood cell counts lead to highly significant associations with all-cause mortality.

Twitter Demographics

The data shown below were collected from the profiles of 90 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 494 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 1%
United Kingdom 2 <1%
New Zealand 1 <1%
Brazil 1 <1%
Finland 1 <1%
Singapore 1 <1%
Russia 1 <1%
Japan 1 <1%
Germany 1 <1%
Other 0 0%
Unknown 480 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 105 21%
Student > Ph. D. Student 83 17%
Student > Bachelor 48 10%
Student > Master 44 9%
Student > Doctoral Student 36 7%
Other 108 22%
Unknown 70 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 108 22%
Medicine and Dentistry 81 16%
Agricultural and Biological Sciences 80 16%
Neuroscience 25 5%
Psychology 23 5%
Other 78 16%
Unknown 99 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 972. 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 16 July 2021.
All research outputs
#9,187
of 18,360,230 outputs
Outputs from Aging
#1
of 2,757 outputs
Outputs of similar age
#230
of 276,886 outputs
Outputs of similar age from Aging
#1
of 53 outputs
Altmetric has tracked 18,360,230 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 2,757 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. 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 276,886 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 53 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.