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PNAS

Worldwide distribution of the DCDC2 READ1 regulatory element and its relationship with phoneme variation across languages

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, April 2018
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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8 news outlets
blogs
5 blogs
twitter
174 X users
facebook
1 Facebook page
reddit
1 Redditor

Citations

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10 Dimensions

Readers on

mendeley
64 Mendeley
citeulike
5 CiteULike
Title
Worldwide distribution of the DCDC2 READ1 regulatory element and its relationship with phoneme variation across languages
Published in
Proceedings of the National Academy of Sciences of the United States of America, April 2018
DOI 10.1073/pnas.1710472115
Pubmed ID
Authors

Mellissa M. C. DeMille, Kevin Tang, Chintan M. Mehta, Christopher Geissler, Jeffrey G. Malins, Natalie R. Powers, Beatrice M. Bowen, Andrew K. Adams, Dongnhu T. Truong, Jan C. Frijters, Jeffrey R. Gruen

Abstract

DCDC2 is a gene strongly associated with components of the phonological processing system in animal models and in multiple independent studies of populations and languages. We propose that it may also influence population-level variation in language component usage. To test this hypothesis, we investigated the evolution and worldwide distribution of the READ1 regulatory element within DCDC2, and compared its distribution with variation in different language properties. The mutational history of READ1 was estimated by examining primate and archaic hominin sequences. This identified duplication and expansion events, which created a large number of polymorphic alleles based on internal repeat units (RU1 and RU2). Association of READ1 alleles was studied with respect to the numbers of consonants and vowels for languages in 43 human populations distributed across five continents. Using population-based approaches with multivariate ANCOVA and linear mixed effects analyses, we found that the RU1-1 allele group of READ1 is significantly associated with the number of consonants within languages independent of genetic relatedness, geographic proximity, and language family. We propose that allelic variation in READ1 helped create a subtle cognitive bias that was amplified by cultural transmission, and ultimately shaped consonant use by different populations over time.

X Demographics

X Demographics

The data shown below were collected from the profiles of 174 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 25%
Student > Ph. D. Student 13 20%
Professor 5 8%
Student > Master 4 6%
Student > Bachelor 3 5%
Other 11 17%
Unknown 12 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 14%
Neuroscience 9 14%
Biochemistry, Genetics and Molecular Biology 8 13%
Linguistics 6 9%
Psychology 3 5%
Other 13 20%
Unknown 16 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 198. 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 04 April 2021.
All research outputs
#203,642
of 25,770,491 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#3,847
of 103,699 outputs
Outputs of similar age
#4,409
of 325,216 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#86
of 1,003 outputs
Altmetric has tracked 25,770,491 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 103,699 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.6. 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 325,216 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 1,003 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 91% of its contemporaries.