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Michigan Publishing

An evolutionary life-history framework for understanding sex differences in human mortality rates

Overview of attention for article published in Human Nature, March 2006
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#30 of 551)
  • High Attention Score compared to outputs of the same age (99th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
186 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
201 Dimensions

Readers on

mendeley
195 Mendeley
Title
An evolutionary life-history framework for understanding sex differences in human mortality rates
Published in
Human Nature, March 2006
DOI 10.1007/s12110-006-1021-z
Pubmed ID
Authors

Daniel J. Kruger, Randolph M. Nesse

Abstract

Sex differences in mortality rates stem from genetic, physiological, behavioral, and social causes that are best understood when integrated in an evolutionary life history framework. This paper investigates the Male-to-Female Mortality Ratio (M:F MR) from external and internal causes and across contexts to illustrate how sex differences shaped by sexual selection interact with the environment to yield a pattern with some consistency, but also with expected variations due to socioeconomic and other factors.

X Demographics

X Demographics

The data shown below were collected from the profiles of 186 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 195 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
United Kingdom 2 1%
Netherlands 1 <1%
Austria 1 <1%
Hungary 1 <1%
Sweden 1 <1%
Canada 1 <1%
Poland 1 <1%
Unknown 183 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 24%
Researcher 33 17%
Student > Master 21 11%
Student > Doctoral Student 16 8%
Student > Bachelor 13 7%
Other 41 21%
Unknown 25 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 27%
Psychology 38 19%
Social Sciences 34 17%
Medicine and Dentistry 6 3%
Biochemistry, Genetics and Molecular Biology 4 2%
Other 26 13%
Unknown 34 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 144. 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 17 February 2023.
All research outputs
#292,891
of 25,722,279 outputs
Outputs from Human Nature
#30
of 551 outputs
Outputs of similar age
#385
of 92,694 outputs
Outputs of similar age from Human Nature
#1
of 4 outputs
Altmetric has tracked 25,722,279 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 551 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.1. This one has done particularly well, scoring higher than 94% 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 92,694 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 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them