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Vocal Learning in the Functionally Referential Food Grunts of Chimpanzees

Overview of attention for article published in Current Biology, February 2015
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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 (96th percentile)

Mentioned by

news
53 news outlets
blogs
14 blogs
twitter
94 X users
facebook
8 Facebook pages
reddit
1 Redditor

Citations

dimensions_citation
197 Dimensions

Readers on

mendeley
335 Mendeley
citeulike
1 CiteULike
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Title
Vocal Learning in the Functionally Referential Food Grunts of Chimpanzees
Published in
Current Biology, February 2015
DOI 10.1016/j.cub.2014.12.032
Pubmed ID
Authors

Stuart K. Watson, Simon W. Townsend, Anne M. Schel, Claudia Wilke, Emma K. Wallace, Leveda Cheng, Victoria West, Katie E. Slocombe

Abstract

One standout feature of human language is our ability to reference external objects and events with socially learned symbols, or words. Exploring the phylogenetic origins of this capacity is therefore key to a comprehensive understanding of the evolution of language. While non-human primates can produce vocalizations that refer to external objects in the environment, it is generally accepted that their acoustic structure is fixed and a product of arousal states [1]. Indeed, it has been argued that the apparent lack of flexible control over the structure of referential vocalizations represents a key discontinuity with language [2]. Here, we demonstrate vocal learning in the acoustic structure of referential food grunts in captive chimpanzees. We found that, following the integration of two groups of adult chimpanzees, the acoustic structure of referential food grunts produced for a specific food converged over 3 years. Acoustic convergence arose independently of preference for the food, and social network analyses indicated this only occurred after strong affiliative relationships were established between the original subgroups. We argue that these data represent the first evidence of non-human animals actively modifying and socially learning the structure of a meaningful referential vocalization from conspecifics. Our findings indicate that primate referential call structure is not simply determined by arousal and that the socially learned nature of referential words in humans likely has ancient evolutionary origins.

X Demographics

X Demographics

The data shown below were collected from the profiles of 94 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 335 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 5 1%
United Kingdom 4 1%
United States 3 <1%
Austria 1 <1%
Senegal 1 <1%
Netherlands 1 <1%
Brazil 1 <1%
Hungary 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 316 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 69 21%
Student > Master 61 18%
Researcher 52 16%
Student > Bachelor 43 13%
Student > Doctoral Student 14 4%
Other 43 13%
Unknown 53 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 117 35%
Psychology 52 16%
Linguistics 27 8%
Social Sciences 20 6%
Environmental Science 12 4%
Other 42 13%
Unknown 65 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 567. 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 18 March 2022.
All research outputs
#42,033
of 25,473,687 outputs
Outputs from Current Biology
#336
of 14,716 outputs
Outputs of similar age
#380
of 361,145 outputs
Outputs of similar age from Current Biology
#8
of 202 outputs
Altmetric has tracked 25,473,687 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 14,716 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 61.9. 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 361,145 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 202 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 96% of its contemporaries.