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Estimating telomere length from whole genome sequence data

Overview of attention for article published in Nucleic Acids Research, March 2014
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter
17 X users
patent
5 patents
wikipedia
1 Wikipedia page

Readers on

mendeley
318 Mendeley
citeulike
3 CiteULike
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Article details
Title
Estimating telomere length from whole genome sequence data
Published in
Nucleic Acids Research, March 2014
DOI 10.1093/nar/gku181
Pubmed ID
Authors
Abstract

Telomeres play a key role in replicative ageing and undergo age-dependent attrition in vivo. Here, we report a novel method, TelSeq, to measure average telomere length from whole genome or exome shotgun sequence data. In 260 leukocyte samples, we show that TelSeq results correlate with Southern blot measurements of the mean length of terminal restriction fragments (mTRFs) and display age-dependent attrition comparably well as mTRFs.

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 318 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 5 2%
United Kingdom 4 1%
Taiwan 1 <1%
Sweden 1 <1%
Russia 1 <1%
Poland 1 <1%
Korea, Republic of 1 <1%
India 1 <1%
France 1 <1%
Other 2 <1%
Unknown 300 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 88 28%
Student > Ph. D. Student 61 19%
Student > Bachelor 22 7%
Other 19 6%
Student > Master 19 6%
Other 44 14%
Unknown 65 20%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 96 30%
Biochemistry, Genetics and Molecular Biology 80 25%
Medicine and Dentistry 39 12%
Computer Science 8 3%
Chemistry 5 2%
Other 16 5%
Unknown 74 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 13 April 2023.
All research outputs
#1,935,476
of 33,276,949 outputs
Outputs from Nucleic Acids Research
#1,517
of 32,903 outputs
Outputs of similar age
#16,358
of 257,652 outputs
Outputs of similar age from Nucleic Acids Research
#5
of 205 outputs
Altmetric has tracked 33,276,949 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,903 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. 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 257,652 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 94% of its contemporaries.
We're also able to compare this research output to 205 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 97% of its contemporaries.