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Patterns of MHC‐dependent mate selection in humans and nonhuman primates: a meta‐analysis

Overview of attention for article published in Molecular Ecology, December 2016
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
7 news outlets
twitter
14 X users
facebook
1 Facebook page
wikipedia
3 Wikipedia pages
reddit
4 Redditors
q&a
2 Q&A threads
podcasts
1 podcast

Readers on

mendeley
183 Mendeley
citeulike
1 CiteULike
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Article details
Title
Patterns of MHC‐dependent mate selection in humans and nonhuman primates: a meta‐analysis
Published in
Molecular Ecology, December 2016
DOI 10.1111/mec.13920
Pubmed ID
Authors
Abstract

Genes of the major histocompatibility complex (MHC) in vertebrates are integral for effective adaptive immune response and are associated with sexual selection. Evidence from a range of vertebrates supports MHC-based preference for diverse and dissimilar mating partners, but evidence from human mate choice studies has been disparate and controversial. Methodologies and sampling peculiarities specific to human studies make it difficult to know whether wide discrepancies in results among human populations are real or artifact. To better understand what processes may affect MHC-mediated mate choice across humans and non-human primates we performed phylogenetically controlled meta-analyses using 58 effect sizes from 30 studies across 7 primate species. Primates showed a general trend favoring more MHC-diverse mates, which was statistically significant for humans. In contrast, there was no tendency for MHC-dissimilar mate choice, and for humans, we observed effect sizes indicating selection of both MHC-dissimilar and MHC-similar mates. Focusing on MHC-similar effect sizes only, we found evidence that preference for MHC-similarity was an artifact of population ethnic heterogeneity in observational studies but not among experimental studies with more control over socio-cultural biases. This suggests that human assortative mating biases may be responsible for some patterns of MHC-based mate choice. Additionally, the overall effect sizes of primate MHC-based mating preferences are relatively weak (Fisher's Z correlation coefficient for dissimilarity Zr = 0.044, diversity Zr = 0.153), calling for careful sampling design in future studies. Overall, our results indicate that preference for more MHC diverse mates is significant for humans and likely conserved across primates. This article is protected by copyright. All rights reserved.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 1 <1%
Brazil 1 <1%
Unknown 181 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 36 20%
Student > Master 32 17%
Researcher 26 14%
Student > Bachelor 20 11%
Student > Doctoral Student 8 4%
Other 16 9%
Unknown 45 25%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 70 38%
Psychology 19 10%
Biochemistry, Genetics and Molecular Biology 12 7%
Social Sciences 7 4%
Medicine and Dentistry 7 4%
Other 16 9%
Unknown 52 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 82. 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 08 June 2026.
All research outputs
#650,842
of 34,267,958 outputs
Outputs from Molecular Ecology
#154
of 7,724 outputs
Outputs of similar age
#9,972
of 453,123 outputs
Outputs of similar age from Molecular Ecology
#5
of 82 outputs
Altmetric has tracked 34,267,958 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 7,724 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 97% 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 453,123 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 82 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.