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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

blogs
1 blog
twitter
290 tweeters
facebook
18 Facebook pages
googleplus
3 Google+ users

Citations

dimensions_citation
104 Dimensions

Readers on

mendeley
383 Mendeley
citeulike
1 CiteULike
Title
Social networks in primates: smart and tolerant species have more efficient networks
Published in
Scientific Reports, December 2014
DOI 10.1038/srep07600
Pubmed ID
Authors

Cristian Pasquaretta, Marine Levé, Nicolas Claidière, Erica van de Waal, Andrew Whiten, Andrew J. J. MacIntosh, Marie Pelé, Mackenzie L. Bergstrom, Christèle Borgeaud, Sarah F. Brosnan, Margaret C. Crofoot, Linda M. Fedigan, Claudia Fichtel, Lydia M. Hopper, Mary Catherine Mareno, Odile Petit, Anna Viktoria Schnoell, Eugenia Polizzi di Sorrentino, Bernard Thierry, Barbara Tiddi, Cédric Sueur

Abstract

Network optimality has been described in genes, proteins and human communicative networks. In the latter, optimality leads to the efficient transmission of information with a minimum number of connections. Whilst studies show that differences in centrality exist in animal networks with central individuals having higher fitness, network efficiency has never been studied in animal groups. Here we studied 78 groups of primates (24 species). We found that group size and neocortex ratio were correlated with network efficiency. Centralisation (whether several individuals are central in the group) and modularity (how a group is clustered) had opposing effects on network efficiency, showing that tolerant species have more efficient networks. Such network properties affecting individual fitness could be shaped by natural selection. Our results are in accordance with the social brain and cultural intelligence hypotheses, which suggest that the importance of network efficiency and information flow through social learning relates to cognitive abilities.

Twitter Demographics

The data shown below were collected from the profiles of 290 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 383 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 3%
United Kingdom 4 1%
Japan 3 <1%
Germany 2 <1%
Brazil 2 <1%
France 2 <1%
Spain 2 <1%
Italy 1 <1%
Portugal 1 <1%
Other 2 <1%
Unknown 354 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 99 26%
Researcher 56 15%
Student > Master 56 15%
Student > Bachelor 36 9%
Professor > Associate Professor 22 6%
Other 63 16%
Unknown 51 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 161 42%
Psychology 60 16%
Social Sciences 18 5%
Environmental Science 16 4%
Neuroscience 10 3%
Other 53 14%
Unknown 65 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 200. 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 26 March 2019.
All research outputs
#168,871
of 23,308,124 outputs
Outputs from Scientific Reports
#2,011
of 125,973 outputs
Outputs of similar age
#1,981
of 355,594 outputs
Outputs of similar age from Scientific Reports
#12
of 974 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 125,973 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done particularly well, scoring higher than 98% 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 355,594 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 974 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 98% of its contemporaries.