| Title |
Theoretical estimation of maximum human lifespan
|
|---|---|
| Published in |
Biogerontology, June 2008
|
| DOI | 10.1007/s10522-008-9156-4 |
| Pubmed ID | |
| Authors |
Byung Mook Weon, Jung Ho Je |
| Abstract |
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. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 2 | 4% |
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 51 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 18% |
| Student > Bachelor | 7 | 13% |
| Researcher | 5 | 9% |
| Student > Postgraduate | 5 | 9% |
| Professor > Associate Professor | 4 | 7% |
| Other | 11 | 20% |
| Unknown | 13 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 15% |
| Agricultural and Biological Sciences | 8 | 15% |
| Medicine and Dentistry | 7 | 13% |
| Materials Science | 2 | 4% |
| Social Sciences | 2 | 4% |
| Other | 10 | 18% |
| Unknown | 18 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 40. 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 07 October 2023.
All research outputs
#982,363
of 24,795,084 outputs
Outputs from Biogerontology
#26
of 705 outputs
Outputs of similar age
#1,953
of 90,548 outputs
Outputs of similar age from Biogerontology
#1
of 7 outputs
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So far Altmetric has tracked 705 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has done particularly well, scoring higher than 96% of its peers.
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