↓ Skip to main content

Modelling the Evolution of Traits in a Two-Sex Population, with an Application to Grandmothering

Overview of attention for article published in Bulletin of Mathematical Biology, July 2017
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
2 Mendeley
Title
Modelling the Evolution of Traits in a Two-Sex Population, with an Application to Grandmothering
Published in
Bulletin of Mathematical Biology, July 2017
DOI 10.1007/s11538-017-0323-0
Pubmed ID
Authors

Matthew H. Chan, Kristen Hawkes, Peter S. Kim

Abstract

We present a mathematical simplification for the evolutionary dynamics of a heritable trait within a two-sex population. This trait is assumed to control the timing of sex-specific life-history events, such as the age of sexual maturity and end of female fertility, and each sex has a distinct fitness trade-off associated with the trait. We provide a formula for the fitness landscape of the population and show a natural extension of the result to an arbitrary number of heritable traits. Our method can be viewed as a dynamical systems generalisation of the Price equation to include two sexes, age structure and multiple traits. We use this formula to examine the effect of grandmothering, whereby post-fertile females subsidise their daughter's fertility by provisioning grandchildren. Grandmothering can drive a shift towards increasingly male-biased mating sex ratios due to a post-fertile life stage in females, while male fertility continues to older ages. Our fitness landscapes show a net increase in fitness for both males and females at longer lifespans, and as a result, we find that grandmothering alone provides an evolutionary trajectory to higher longevities.

Twitter Demographics

The data shown below were collected from the profiles of 8 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 50%
Student > Ph. D. Student 1 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 50%
Social Sciences 1 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 16 July 2019.
All research outputs
#3,471,577
of 13,622,686 outputs
Outputs from Bulletin of Mathematical Biology
#94
of 699 outputs
Outputs of similar age
#78,950
of 261,841 outputs
Outputs of similar age from Bulletin of Mathematical Biology
#1
of 15 outputs
Altmetric has tracked 13,622,686 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 699 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 86% 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 261,841 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 15 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 93% of its contemporaries.