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Horizons in the evolution of aging

Overview of attention for article published in BMC Biology, August 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)

Mentioned by

blogs
1 blog
twitter
36 tweeters
facebook
2 Facebook pages
wikipedia
3 Wikipedia pages
video
2 video uploaders

Citations

dimensions_citation
126 Dimensions

Readers on

mendeley
319 Mendeley
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Title
Horizons in the evolution of aging
Published in
BMC Biology, August 2018
DOI 10.1186/s12915-018-0562-z
Pubmed ID
Authors

Thomas Flatt, Linda Partridge

Abstract

Between the 1930s and 50s, evolutionary biologists developed a successful theory of why organisms age, firmly rooted in population genetic principles. By the 1980s the evolution of aging had a secure experimental basis. Since the force of selection declines with age, aging evolves due to mutation accumulation or a benefit to fitness early in life. Here we review major insights and challenges that have emerged over the last 35 years: selection does not always necessarily decline with age; higher extrinsic (i.e., environmentally caused) mortality does not always accelerate aging; conserved pathways control aging rate; senescence patterns are more diverse than previously thought; aging is not universal; trade-offs involving lifespan can be 'broken'; aging might be 'druggable'; and human life expectancy continues to rise but compressing late-life morbidity remains a pressing challenge.

Twitter Demographics

The data shown below were collected from the profiles of 36 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 319 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 319 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 54 17%
Student > Ph. D. Student 42 13%
Researcher 35 11%
Student > Master 35 11%
Professor 16 5%
Other 47 15%
Unknown 90 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 78 24%
Agricultural and Biological Sciences 65 20%
Medicine and Dentistry 26 8%
Nursing and Health Professions 10 3%
Neuroscience 10 3%
Other 24 8%
Unknown 106 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 14 October 2022.
All research outputs
#1,071,288
of 22,570,871 outputs
Outputs from BMC Biology
#292
of 1,963 outputs
Outputs of similar age
#23,540
of 300,802 outputs
Outputs of similar age from BMC Biology
#1
of 1 outputs
Altmetric has tracked 22,570,871 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,963 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.5. This one has done well, scoring higher than 85% 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 300,802 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 92% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them