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DNA methylation-based estimator of telomere length

Overview of attention for article published in Aging, August 2019
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
4 X users
facebook
1 Facebook page
reddit
1 Redditor
video
1 YouTube creator

Citations

dimensions_citation
204 Dimensions

Readers on

mendeley
214 Mendeley
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Title
DNA methylation-based estimator of telomere length
Published in
Aging, August 2019
DOI 10.18632/aging.102173
Pubmed ID
Authors

Ake T Lu, Anne Seeboth, Pei-Chien Tsai, Dianjianyi Sun, Austin Quach, Alex P Reiner, Charles Kooperberg, Luigi Ferrucci, Lifang Hou, Andrea A Baccarelli, Yun Li, Sarah E Harris, Janie Corley, Adele Taylor, Ian J Deary, James D Stewart, Eric A Whitsel, Themistocles L Assimes, Wei Chen, Shengxu Li, Massimo Mangino, Jordana T Bell, James G Wilson, Abraham Aviv, Riccardo E Marioni, Kenneth Raj, Steve Horvath

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 214 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 214 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 18%
Student > Ph. D. Student 29 14%
Student > Bachelor 23 11%
Student > Master 16 7%
Student > Doctoral Student 12 6%
Other 28 13%
Unknown 67 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 41 19%
Medicine and Dentistry 27 13%
Agricultural and Biological Sciences 13 6%
Psychology 10 5%
Neuroscience 8 4%
Other 34 16%
Unknown 81 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 29 February 2024.
All research outputs
#1,671,710
of 26,017,215 outputs
Outputs from Aging
#432
of 4,191 outputs
Outputs of similar age
#33,993
of 355,427 outputs
Outputs of similar age from Aging
#9
of 149 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,191 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has done well, scoring higher than 89% 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 355,427 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 90% of its contemporaries.
We're also able to compare this research output to 149 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 93% of its contemporaries.