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Theoretical estimation of maximum human lifespan

Overview of attention for article published in Biogerontology, June 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#31 of 423)
  • High Attention Score compared to outputs of the same age (93rd percentile)

Mentioned by

1 blog
4 tweeters
4 Wikipedia pages


21 Dimensions

Readers on

29 Mendeley
Theoretical estimation of maximum human lifespan
Published in
Biogerontology, June 2008
DOI 10.1007/s10522-008-9156-4
Pubmed ID

Byung Mook Weon, Jung Ho Je


The existence of maximum human lifespan remains a puzzle in aging research. Maximum human lifespan is believed to be around 125 years, whereas current demographic trends seem to show no limitation. To reconcile this contrast, the estimation of maximum human lifespan requires an adequate mathematical model. However, sparse data of available old-age mortality pattern make the estimation impossible. Here we suggest an extended Weibull model for the estimation using a proper mathematical method based on survival probability pattern. We find a tendency that survival probability is maximized in modern human survival curves. Based on such tendency, we develop an estimation method for maximum human lifespan and indeed obtain about 126 years from periodic life tables for Swedish female between 1950 and 2005. Despite uncertainty from available mortality data, our approach may offer quantitative biodemographic opportunities linking aging and survival kinetics.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 2 7%
United States 1 3%
United Kingdom 1 3%
Unknown 25 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 24%
Researcher 5 17%
Professor > Associate Professor 4 14%
Student > Master 3 10%
Student > Bachelor 3 10%
Other 7 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 24%
Medicine and Dentistry 5 17%
Biochemistry, Genetics and Molecular Biology 4 14%
Unspecified 3 10%
Materials Science 2 7%
Other 8 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 23 September 2018.
All research outputs
of 12,834,559 outputs
Outputs from Biogerontology
of 423 outputs
Outputs of similar age
of 251,761 outputs
Outputs of similar age from Biogerontology
of 4 outputs
Altmetric has tracked 12,834,559 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 423 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 92% 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 251,761 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 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.