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The Biological Origin of Linguistic Diversity

Overview of attention for article published in PLOS ONE, October 2012
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
blogs
3 blogs
twitter
43 X users
facebook
3 Facebook pages
googleplus
5 Google+ users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
128 Mendeley
citeulike
2 CiteULike
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Title
The Biological Origin of Linguistic Diversity
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0048029
Pubmed ID
Authors

Andrea Baronchelli, Nick Chater, Romualdo Pastor-Satorras, Morten H. Christiansen

Abstract

In contrast with animal communication systems, diversity is characteristic of almost every aspect of human language. Languages variously employ tones, clicks, or manual signs to signal differences in meaning; some languages lack the noun-verb distinction (e.g., Straits Salish), whereas others have a proliferation of fine-grained syntactic categories (e.g., Tzeltal); and some languages do without morphology (e.g., Mandarin), while others pack a whole sentence into a single word (e.g., Cayuga). A challenge for evolutionary biology is to reconcile the diversity of languages with the high degree of biological uniformity of their speakers. Here, we model processes of language change and geographical dispersion and find a consistent pressure for flexible learning, irrespective of the language being spoken. This pressure arises because flexible learners can best cope with the observed high rates of linguistic change associated with divergent cultural evolution following human migration. Thus, rather than genetic adaptations for specific aspects of language, such as recursion, the coevolution of genes and fast-changing linguistic structure provides the biological basis for linguistic diversity. Only biological adaptations for flexible learning combined with cultural evolution can explain how each child has the potential to learn any human language.

X Demographics

X Demographics

The data shown below were collected from the profiles of 43 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 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Brazil 3 2%
Portugal 2 2%
Germany 2 2%
Canada 2 2%
Vietnam 1 <1%
France 1 <1%
Netherlands 1 <1%
Turkey 1 <1%
Other 7 5%
Unknown 105 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 20%
Researcher 22 17%
Student > Master 15 12%
Student > Bachelor 11 9%
Student > Doctoral Student 10 8%
Other 33 26%
Unknown 11 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 26%
Linguistics 15 12%
Psychology 14 11%
Physics and Astronomy 13 10%
Social Sciences 8 6%
Other 29 23%
Unknown 16 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 67. 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 21 May 2018.
All research outputs
#645,294
of 25,494,370 outputs
Outputs from PLOS ONE
#8,675
of 222,215 outputs
Outputs of similar age
#3,531
of 202,345 outputs
Outputs of similar age from PLOS ONE
#142
of 4,916 outputs
Altmetric has tracked 25,494,370 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 222,215 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 96% 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 202,345 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 98% of its contemporaries.
We're also able to compare this research output to 4,916 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 97% of its contemporaries.