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Mate Choice and the Origin of Menopause

Overview of attention for article published in PLoS Computational Biology, June 2013
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
25 news outlets
blogs
15 blogs
twitter
52 X users
patent
1 patent
facebook
22 Facebook pages
wikipedia
2 Wikipedia pages
googleplus
7 Google+ users
reddit
2 Redditors

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
151 Mendeley
citeulike
4 CiteULike
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Title
Mate Choice and the Origin of Menopause
Published in
PLoS Computational Biology, June 2013
DOI 10.1371/journal.pcbi.1003092
Pubmed ID
Authors

Richard A. Morton, Jonathan R. Stone, Rama S. Singh

Abstract

Human menopause is an unsolved evolutionary puzzle, and relationships among the factors that produced it remain understood poorly. Classic theory, involving a one-sex (female) model of human demography, suggests that genes imparting deleterious effects on post-reproductive survival will accumulate. Thus, a 'death barrier' should emerge beyond the maximum age for female reproduction. Under this scenario, few women would experience menopause (decreased fertility with continued survival) because few would survive much longer than they reproduced. However, no death barrier is observed in human populations. Subsequent theoretical research has shown that two-sex models, including male fertility at older ages, avoid the death barrier. Here we use a stochastic, two-sex computational model implemented by computer simulation to show how male mating preference for younger females could lead to the accumulation of mutations deleterious to female fertility and thus produce a menopausal period. Our model requires neither the initial assumption of a decline in older female fertility nor the effects of inclusive fitness through which older, non-reproducing women assist in the reproductive efforts of younger women. Our model helps to explain why such effects, observed in many societies, may be insufficient factors in elucidating the origin of menopause.

X Demographics

X Demographics

The data shown below were collected from the profiles of 52 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Austria 2 1%
Portugal 1 <1%
Chile 1 <1%
Turkey 1 <1%
Colombia 1 <1%
Brazil 1 <1%
Peru 1 <1%
Russia 1 <1%
Other 1 <1%
Unknown 139 92%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 33 22%
Student > Master 22 15%
Researcher 19 13%
Student > Ph. D. Student 19 13%
Professor 8 5%
Other 24 16%
Unknown 26 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 58 38%
Biochemistry, Genetics and Molecular Biology 13 9%
Medicine and Dentistry 11 7%
Psychology 10 7%
Social Sciences 8 5%
Other 19 13%
Unknown 32 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 362. 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 18 December 2023.
All research outputs
#90,376
of 25,859,234 outputs
Outputs from PLoS Computational Biology
#65
of 9,056 outputs
Outputs of similar age
#519
of 210,570 outputs
Outputs of similar age from PLoS Computational Biology
#2
of 108 outputs
Altmetric has tracked 25,859,234 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 9,056 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.2. 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 210,570 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 108 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 98% of its contemporaries.