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Blood Telomere Length Attrition and Cancer Development in the Normative Aging Study Cohort

Overview of attention for article published in EBioMedicine, April 2015
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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2 news outlets
blogs
1 blog
twitter
3 X users
facebook
1 Facebook page
reddit
4 Redditors

Readers on

mendeley
82 Mendeley
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Article details
Title
Blood Telomere Length Attrition and Cancer Development in the Normative Aging Study Cohort
Published in
EBioMedicine, April 2015
DOI 10.1016/j.ebiom.2015.04.008
Pubmed ID
Authors
Abstract

Accelerated telomere shortening may cause cancer via chromosomal instability, making it a potentially useful biomarker. However, publications on blood telomere length (BTL) and cancer are inconsistent. We prospectively examined BTL measures over time and cancer incidence. We included 792 Normative Aging Study participants with 1-4 BTL measurements from 1999 to 2012. We used linear mixed-effects models to examine BTL attrition by cancer status (relative to increasing age and decreasing years pre-diagnosis), Cox models for time-dependent associations, and logistic regression for cancer incidence stratified by years between BTL measurement and diagnosis. Age-related BTL attrition was faster in cancer cases pre-diagnosis than in cancer-free participants (pdifference = 0.017); all participants had similar age-adjusted BTL 8-14 years pre-diagnosis, followed by decelerated attrition in cancer cases resulting in longer BTL three (p = 0.003) and four (p = 0.012) years pre-diagnosis. Longer time-dependent BTL was associated with prostate cancer (HR = 1.79, p = 0.03), and longer BTL measured ≤ 4 years pre-diagnosis with any (OR = 3.27, p < 0.001) and prostate cancers (OR = 6.87, p < 0.001). Age-related BTL attrition was faster in cancer cases but their age-adjusted BTL attrition began decelerating as diagnosis approached. This may explain prior inconsistencies and help develop BTL as a cancer detection biomarker.

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X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 2%
United Kingdom 1 1%
Unknown 79 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 17 21%
Researcher 12 15%
Student > Master 11 13%
Student > Bachelor 9 11%
Professor > Associate Professor 5 6%
Other 13 16%
Unknown 15 18%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 22%
Agricultural and Biological Sciences 16 20%
Medicine and Dentistry 13 16%
Chemistry 4 5%
Engineering 3 4%
Other 11 13%
Unknown 17 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 May 2016.
All research outputs
#1,909,645
of 32,125,052 outputs
Outputs from EBioMedicine
#919
of 4,877 outputs
Outputs of similar age
#20,272
of 296,288 outputs
Outputs of similar age from EBioMedicine
#9
of 60 outputs
Altmetric has tracked 32,125,052 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 4,877 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.7. This one has done well, scoring higher than 81% 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 296,288 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 93% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.