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Linguistic Grammar Learning and DRD2-TAQ-IA Polymorphism

Overview of attention for article published in PLOS ONE, May 2013
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
Linguistic Grammar Learning and DRD2-TAQ-IA Polymorphism
Published in
PLOS ONE, May 2013
DOI 10.1371/journal.pone.0064983
Pubmed ID
Authors

Patrick C. M. Wong, Marc Ettlinger, Jing Zheng

Abstract

As research into the neurobiology of language has focused primarily on the systems level, fewer studies have examined the link between molecular genetics and normal variations in language functions. Because the ability to learn a language varies in adults and our genetic codes also vary, research linking the two provides a unique window into the molecular neurobiology of language. We consider a candidate association between the dopamine receptor D2 gene (DRD2) and linguistic grammar learning. DRD2-TAQ-IA polymorphism (rs1800497) is associated with dopamine receptor D2 distribution and dopamine impact in the human striatum, such that A1 allele carriers show reduction in D2 receptor binding relative to carriers who are homozygous for the A2 allele. The individual differences in grammatical rule learning that are particularly prevalent in adulthood are also associated with striatal function and its role in domain-general procedural memory. Therefore, we reasoned that procedurally-based grammar learning could be associated with DRD2-TAQ-IA polymorphism. Here, English-speaking adults learned artificial concatenative and analogical grammars, which have been respectively associated with procedural and declarative memory. Language learning capabilities were tested while learners' neural hemodynamic responses were simultaneously measured by fMRI. Behavioral learning and brain activation data were subsequently compared with the learners' DRD2 (rs1800497) genotype. Learners who were homozygous for the A2 allele were better at concatenative (but not analogical) grammar learning and had higher striatal responses relative to those who have at least one A1 allele. These results provide preliminary evidence for the neurogenetic basis of normal variations in linguistic grammar learning and its link to domain-general functions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Portugal 1 1%
Indonesia 1 1%
United Kingdom 1 1%
Hong Kong 1 1%
Canada 1 1%
Luxembourg 1 1%
Unknown 64 89%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 15%
Student > Ph. D. Student 10 14%
Student > Master 10 14%
Researcher 9 13%
Professor 6 8%
Other 13 18%
Unknown 13 18%
Readers by discipline Count As %
Psychology 13 18%
Linguistics 10 14%
Agricultural and Biological Sciences 7 10%
Social Sciences 7 10%
Neuroscience 5 7%
Other 14 19%
Unknown 16 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 29 September 2023.
All research outputs
#7,453,384
of 24,520,187 outputs
Outputs from PLOS ONE
#96,203
of 211,828 outputs
Outputs of similar age
#59,692
of 198,583 outputs
Outputs of similar age from PLOS ONE
#1,755
of 4,753 outputs
Altmetric has tracked 24,520,187 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 211,828 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has gotten more attention than average, scoring higher than 54% 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 198,583 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 4,753 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.