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Reflections on telomere dynamics and ageing-related diseases in humans

Overview of attention for article published in Philosophical Transactions of the Royal Society B: Biological Sciences, January 2018
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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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
5 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Readers on

mendeley
161 Mendeley
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Article details
Title
Reflections on telomere dynamics and ageing-related diseases in humans
Published in
Philosophical Transactions of the Royal Society B: Biological Sciences, January 2018
DOI 10.1098/rstb.2016.0436
Pubmed ID
Authors
Abstract

Epidemiological studies have principally relied on measurements of telomere length (TL) in leucocytes, which reflects TL in other somatic cells. Leucocyte TL (LTL) displays vast variation across individuals-a phenomenon already observed in newborns. It is highly heritable, longer in females than males and in individuals of African ancestry than European ancestry. LTL is also longer in offspring conceived by older men. The traditional view regards LTL as a passive biomarker of human ageing. However, new evidence suggests that a dynamic interplay between selective evolutionary forces and TL might result in trade-offs for specific health outcomes. From a biological perspective, an active role of TL in ageing-related human diseases could occur because short telomeres increase the risk of a category of diseases related to restricted cell proliferation and tissue degeneration, including cardiovascular disease, whereas long telomeres increase the risk of another category of diseases related to increased proliferative growth, including major cancers. To understand the role of telomere biology in ageing-related diseases, it is essential to expand telomere research to newborns and children and seek further insight into the underlying causes of the variation in TL due to ancestry and geographical location.This article is part of the theme issue 'Understanding diversity in telomere dynamics'.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 161 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 32 20%
Student > Master 24 15%
Researcher 19 12%
Student > Bachelor 9 6%
Professor > Associate Professor 5 3%
Other 20 12%
Unknown 52 32%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 29 18%
Agricultural and Biological Sciences 24 15%
Medicine and Dentistry 18 11%
Nursing and Health Professions 8 5%
Psychology 4 2%
Other 20 12%
Unknown 58 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 31 May 2020.
All research outputs
#2,023,486
of 28,818,276 outputs
Outputs from Philosophical Transactions of the Royal Society B: Biological Sciences
#1,630
of 7,194 outputs
Outputs of similar age
#42,331
of 480,775 outputs
Outputs of similar age from Philosophical Transactions of the Royal Society B: Biological Sciences
#35
of 120 outputs
Altmetric has tracked 28,818,276 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,194 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.1. This one has done well, scoring higher than 77% 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 480,775 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 91% of its contemporaries.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.