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Sex‐specific demography and generalization of the Trivers–Willard theory

Overview of attention for article published in Nature, September 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

news
6 news outlets
blogs
3 blogs
twitter
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1 Bluesky user

Readers on

mendeley
219 Mendeley
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Article details
Title
Sex‐specific demography and generalization of the Trivers–Willard theory
Published in
Nature, September 2015
DOI 10.1038/nature14968
Pubmed ID
Authors
Abstract

The Trivers-Willard theory proposes that the sex ratio of offspring should vary with maternal condition when it has sex-specific influences on offspring fitness. In particular, mothers in good condition in polygynous and dimorphic species are predicted to produce an excess of sons, whereas mothers in poor condition should do the opposite. Despite the elegance of the theory, support for it has been limited. Here we extend and generalize the Trivers-Willard theory to explain the disparity between predictions and observations of offspring sex ratio. In polygynous species, males typically have higher mortality rates, different age-specific reproductive schedules and more risk-prone life history tactics than females; however, these differences are not currently incorporated into the Trivers-Willard theory. Using two-sex models parameterized with data from free-living mammal populations with contrasting levels of sex differences in demography, we demonstrate how sex differences in life history traits over the entire lifespan can lead to a wide range of sex allocation tactics, and show that correlations between maternal condition and offspring sex ratio alone are insufficient to conclude that mothers adaptively adjust offspring sex ratio.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 40 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 219 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 <1%
Romania 1 <1%
Mexico 1 <1%
United Kingdom 1 <1%
Switzerland 1 <1%
Unknown 213 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 47 21%
Student > Ph. D. Student 38 17%
Student > Master 31 14%
Student > Bachelor 19 9%
Professor 12 5%
Other 28 13%
Unknown 44 20%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 112 51%
Environmental Science 22 10%
Social Sciences 7 3%
Biochemistry, Genetics and Molecular Biology 5 2%
Psychology 5 2%
Other 18 8%
Unknown 50 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 81. 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 03 November 2015.
All research outputs
#674,519
of 34,644,748 outputs
Outputs from Nature
#27,339
of 118,173 outputs
Outputs of similar age
#7,169
of 311,707 outputs
Outputs of similar age from Nature
#443
of 1,021 outputs
Altmetric has tracked 34,644,748 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 118,173 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 95.9. This one has done well, scoring higher than 76% 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 311,707 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 97% of its contemporaries.
We're also able to compare this research output to 1,021 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.