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Birds, primates, and spoken language origins: behavioral phenotypes and neurobiological substrates

Overview of attention for article published in Frontiers in Evolutionary Neuroscience, January 2012
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  • 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 (82nd percentile)

Mentioned by

news
2 news outlets
blogs
2 blogs
twitter
11 X users
wikipedia
3 Wikipedia pages
googleplus
1 Google+ user
reddit
1 Redditor
video
1 YouTube creator

Citations

dimensions_citation
332 Dimensions

Readers on

mendeley
487 Mendeley
citeulike
8 CiteULike
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Title
Birds, primates, and spoken language origins: behavioral phenotypes and neurobiological substrates
Published in
Frontiers in Evolutionary Neuroscience, January 2012
DOI 10.3389/fnevo.2012.00012
Pubmed ID
Authors

Christopher I. Petkov, Erich D. Jarvis

Abstract

Vocal learners such as humans and songbirds can learn to produce elaborate patterns of structurally organized vocalizations, whereas many other vertebrates such as non-human primates and most other bird groups either cannot or do so to a very limited degree. To explain the similarities among humans and vocal-learning birds and the differences with other species, various theories have been proposed. One set of theories are motor theories, which underscore the role of the motor system as an evolutionary substrate for vocal production learning. For instance, the motor theory of speech and song perception proposes enhanced auditory perceptual learning of speech in humans and song in birds, which suggests a considerable level of neurobiological specialization. Another, a motor theory of vocal learning origin, proposes that the brain pathways that control the learning and production of song and speech were derived from adjacent motor brain pathways. Another set of theories are cognitive theories, which address the interface between cognition and the auditory-vocal domains to support language learning in humans. Here we critically review the behavioral and neurobiological evidence for parallels and differences between the so-called vocal learners and vocal non-learners in the context of motor and cognitive theories. In doing so, we note that behaviorally vocal-production learning abilities are more distributed than categorical, as are the auditory-learning abilities of animals. We propose testable hypotheses on the extent of the specializations and cross-species correspondences suggested by motor and cognitive theories. We believe that determining how spoken language evolved is likely to become clearer with concerted efforts in testing comparative data from many non-human animal species.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 487 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 1%
United Kingdom 3 <1%
Netherlands 2 <1%
France 1 <1%
Brazil 1 <1%
Costa Rica 1 <1%
Germany 1 <1%
Belgium 1 <1%
Switzerland 1 <1%
Other 2 <1%
Unknown 467 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 106 22%
Student > Master 71 15%
Researcher 69 14%
Student > Bachelor 69 14%
Professor 27 6%
Other 76 16%
Unknown 69 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 155 32%
Neuroscience 81 17%
Psychology 46 9%
Biochemistry, Genetics and Molecular Biology 25 5%
Linguistics 23 5%
Other 77 16%
Unknown 80 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 September 2023.
All research outputs
#1,083,281
of 25,387,189 outputs
Outputs from Frontiers in Evolutionary Neuroscience
#7
of 35 outputs
Outputs of similar age
#6,465
of 250,655 outputs
Outputs of similar age from Frontiers in Evolutionary Neuroscience
#4
of 17 outputs
Altmetric has tracked 25,387,189 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 35 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.3. This one scored the same or higher as 28 of them.
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 250,655 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 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.