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Sex Differences in Sex Drive, Sociosexuality, and Height across 53 Nations: Testing Evolutionary and Social Structural Theories

Overview of attention for article published in Archives of Sexual Behavior, November 2007
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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2 news outlets
blogs
2 blogs
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10 X users
wikipedia
6 Wikipedia pages
video
1 YouTube creator

Citations

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192 Dimensions

Readers on

mendeley
179 Mendeley
Title
Sex Differences in Sex Drive, Sociosexuality, and Height across 53 Nations: Testing Evolutionary and Social Structural Theories
Published in
Archives of Sexual Behavior, November 2007
DOI 10.1007/s10508-007-9242-8
Pubmed ID
Authors

Richard A. Lippa

Abstract

By analyzing cross-cultural patterns in five parameters--sex differences, male and female trait means, male and female trait standard deviations--researchers can better test evolutionary and social structural models of sex differences. Five models of biological and social structural influence are presented that illustrate this proposal. Using data from 53 nations and from over 200,000 participants surveyed in a recent BBC Internet survey, I examined cross-cultural patterns in these five parameters for two sexual traits--sex drive and sociosexuality--and for height, a physical trait with a biologically based sex difference. Sex drive, sociosexuality, and height all showed consistent sex differences across nations (mean ds = .62, .74, and 1.63). Women were consistently more variable than men in sex drive (mean female to male variance ratio = 1.64). Gender equality and economic development tended to predict, across nations, sex differences in sociosexuality, but not sex differences in sex drive or height. Parameters for sociosexuality tended to vary across nations more than parameters for sex drive and height did. The results for sociosexuality were most consistent with a hybrid model--that both biological and social structural influences contribute to sex differences, whereas the results for sex drive and height were most consistent with a biological model--that evolved biological factors are the primary cause of sex differences. The model testing proposed here encourages evolutionary and social structural theorists to make more precise and nuanced predictions about the patterning of sex differences across cultures.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
United Kingdom 2 1%
Malaysia 1 <1%
Unknown 170 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 41 23%
Student > Ph. D. Student 32 18%
Student > Master 21 12%
Researcher 16 9%
Professor > Associate Professor 10 6%
Other 27 15%
Unknown 32 18%
Readers by discipline Count As %
Psychology 84 47%
Social Sciences 16 9%
Agricultural and Biological Sciences 12 7%
Medicine and Dentistry 8 4%
Computer Science 4 2%
Other 12 7%
Unknown 43 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. 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 04 April 2024.
All research outputs
#919,003
of 25,634,695 outputs
Outputs from Archives of Sexual Behavior
#485
of 3,771 outputs
Outputs of similar age
#1,605
of 89,600 outputs
Outputs of similar age from Archives of Sexual Behavior
#2
of 25 outputs
Altmetric has tracked 25,634,695 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,771 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.3. This one has done well, scoring higher than 87% 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 89,600 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 98% of its contemporaries.
We're also able to compare this research output to 25 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 92% of its contemporaries.