↓ Skip to main content

Relatedness predicts multiple measures of investment in cooperative nest construction in sociable weavers

Overview of attention for article published in Behavioral Ecology and Sociobiology, August 2015
Altmetric Badge

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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
14 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
47 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Relatedness predicts multiple measures of investment in cooperative nest construction in sociable weavers
Published in
Behavioral Ecology and Sociobiology, August 2015
DOI 10.1007/s00265-015-1996-8
Pubmed ID
Authors

Gavin M. Leighton, Sebastian Echeverri, Dirk Heinrich, Holger Kolberg

Abstract

Although communal goods are often critical to society, they are simultaneously susceptible to exploitation and are evolutionarily stable only if mechanisms exist to curtail exploitation. Mechanisms such as punishment and kin selection have been offered as general explanations for how communal resources can be maintained. Evidence for these mechanisms comes largely from humans and social insects, leaving their generality in question. To assess how communal resources are maintained, we observed cooperative nest construction in sociable weavers (Philetairus socius). The communal nest of sociable weavers provides thermal benefits for all individuals but requires continual maintenance. We observed cooperative nest construction and also recorded basic morphological characteristics. We also collected blood samples, performed next-generation sequencing, and isolated 2358 variable single nucleotide polymorphisms (SNPs) to estimate relatedness. We find that relatedness predicts investment in cooperative nest construction, while no other morphological characters significantly explain cooperative output. We argue that indirect benefits are a critical fitness component for maintaining the cooperative behavior that maintains the communal good.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 2%
Unknown 46 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 26%
Student > Ph. D. Student 11 23%
Student > Bachelor 4 9%
Student > Doctoral Student 3 6%
Professor 3 6%
Other 7 15%
Unknown 7 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 62%
Environmental Science 4 9%
Biochemistry, Genetics and Molecular Biology 2 4%
Immunology and Microbiology 1 2%
Psychology 1 2%
Other 0 0%
Unknown 10 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 February 2017.
All research outputs
#3,508,547
of 24,938,276 outputs
Outputs from Behavioral Ecology and Sociobiology
#632
of 3,243 outputs
Outputs of similar age
#44,258
of 272,670 outputs
Outputs of similar age from Behavioral Ecology and Sociobiology
#8
of 54 outputs
Altmetric has tracked 24,938,276 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,243 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done well, scoring higher than 80% 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 272,670 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 83% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.