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The Recognition Signal Hypothesis for the Adaptive Evolution of Religion

Overview of attention for article published in Human Nature, May 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
59 Mendeley
Title
The Recognition Signal Hypothesis for the Adaptive Evolution of Religion
Published in
Human Nature, May 2012
DOI 10.1007/s12110-012-9138-8
Pubmed ID
Authors

Luke J. Matthews

Abstract

Recent research on the evolution of religion has focused on whether religion is an unselected by-product of evolutionary processes or if it is instead an adaptation by natural selection. Adaptive hypotheses for religion include direct fitness benefits from improved health and indirect fitness benefits mediated by costly signals and/or cultural group selection. Herein, I propose that religious denominations achieve indirect fitness gains for members through the use of ecologically arbitrary beliefs, rituals, and moral rules that function as recognition markers of cultural inheritance analogous to kin and species recognition of genetic inheritance in biology. This recognition signal hypotheses could act in concert with either costly signaling or cultural group selection to produce evolutionarily altruistic behaviors within denominations. Using a cultural phylogenetic analysis, I show that a large set of religious behaviors among extant Christian denominations supports the prediction of the recognition signal hypothesis that characters change more frequently near historical schisms. By incorporating demographic data into the model, I show that more-distinctive denominations, as measured through dissimilar characteristics, appear to be protected from intrusion by nonmembers in mixed-denomination households, and that they may be experiencing greater biological growth of their populations even in the present day.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 2%
United States 1 2%
Brazil 1 2%
Unknown 56 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 20%
Researcher 10 17%
Student > Ph. D. Student 9 15%
Lecturer 5 8%
Student > Master 5 8%
Other 12 20%
Unknown 6 10%
Readers by discipline Count As %
Psychology 19 32%
Social Sciences 11 19%
Agricultural and Biological Sciences 10 17%
Medicine and Dentistry 2 3%
Neuroscience 2 3%
Other 6 10%
Unknown 9 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 10 December 2013.
All research outputs
#3,830,816
of 24,036,420 outputs
Outputs from Human Nature
#239
of 531 outputs
Outputs of similar age
#25,341
of 167,076 outputs
Outputs of similar age from Human Nature
#5
of 6 outputs
Altmetric has tracked 24,036,420 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 531 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.9. This one has gotten more attention than average, scoring higher than 55% 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 167,076 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.