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Evidence for a limit to human lifespan

Overview of attention for article published in Nature, October 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#22 of 48,098)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Readers on

mendeley
88 Mendeley
citeulike
9 CiteULike
Title
Evidence for a limit to human lifespan
Published in
Nature, October 2016
DOI 10.1038/nature19793
Pubmed ID
Authors

Xiao Dong, Brandon Milholland, Jan Vijg, Dong, Xiao, Milholland, Brandon, Vijg, Jan

Abstract

Driven by technological progress, human life expectancy has increased greatly since the nineteenth century. Demographic evidence has revealed an ongoing reduction in old-age mortality and a rise of the maximum age at death, which may gradually extend human longevity. Together with observations that lifespan in various animal species is flexible and can be increased by genetic or pharmaceutical intervention, these results have led to suggestions that longevity may not be subject to strict, species-specific genetic constraints. Here, by analysing global demographic data, we show that improvements in survival with age tend to decline after age 100, and that the age at death of the world's oldest person has not increased since the 1990s. Our results strongly suggest that the maximum lifespan of humans is fixed and subject to natural constraints.

Twitter Demographics

The data shown below were collected from the profiles of 1,345 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Slovakia 1 1%
United Kingdom 1 1%
United States 1 1%
Canada 1 1%
Unknown 84 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 30%
Student > Bachelor 21 24%
Student > Ph. D. Student 16 18%
Professor 6 7%
Researcher 6 7%
Other 13 15%
Readers by discipline Count As %
Social Sciences 59 67%
Arts and Humanities 5 6%
Medicine and Dentistry 4 5%
Economics, Econometrics and Finance 3 3%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 15 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 3325. 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 08 September 2017.
All research outputs
#71
of 8,417,128 outputs
Outputs from Nature
#22
of 48,098 outputs
Outputs of similar age
#5
of 252,888 outputs
Outputs of similar age from Nature
#2
of 1,026 outputs
Altmetric has tracked 8,417,128 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 48,098 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 74.9. This one has done particularly well, scoring higher than 99% 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 252,888 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 99% of its contemporaries.
We're also able to compare this research output to 1,026 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 99% of its contemporaries.