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Genetic insights into the functional elements of language

Overview of attention for article published in Human Genetics, June 2013
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Mentioned by

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1 X user
wikipedia
2 Wikipedia pages

Citations

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16 Dimensions

Readers on

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68 Mendeley
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1 CiteULike
Title
Genetic insights into the functional elements of language
Published in
Human Genetics, June 2013
DOI 10.1007/s00439-013-1317-0
Pubmed ID
Authors

Adam Szalontai, Katalin Csiszar

Abstract

Language disorders cover a wide range of conditions with heterologous and overlapping phenotypes and complex etiologies harboring both genetic and environmental influences. Genetic approaches including the identification of genes linked to speech and language phenotypes and the characterization of normal and aberrant functions of these genes have, in recent years, unraveled complex details of molecular and cognitive mechanisms and provided valuable insight into the biological foundations of language. Consistent with this approach, we have reviewed the functional aspects of allelic variants of genes which are currently known to be either causally associated with disorders of speech and language or impact upon the spectrum of normal language ability. We have also reviewed candidate genes associated with heritable speech and language disorders. In addition, we have evaluated language phenotypes and associated genetic components in developmental syndromes that, together with a spectrum of altered language abilities, manifest various phenotypes and offer details of multifactorial determinants of language function. Data from this review have revealed a predominance of regulatory networks involved in the control of differentiation and functioning of neurons, neuronal tracks and connections among brain structures associated with both cognitive and language faculties. Our findings, furthermore, have highlighted several multifactorial determinants in overlapping speech and language phenotypes. Collectively this analysis has revealed an interconnected developmental network and a close association of the language faculty with cognitive functions, a finding that has the potential to provide insight into linguistic hypotheses defining in particular, the contribution of genetic elements to and the modular nature of the language faculty.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Netherlands 1 1%
China 1 1%
Italy 1 1%
Unknown 64 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 19%
Student > Master 11 16%
Student > Bachelor 8 12%
Researcher 8 12%
Student > Postgraduate 6 9%
Other 11 16%
Unknown 11 16%
Readers by discipline Count As %
Psychology 13 19%
Agricultural and Biological Sciences 11 16%
Neuroscience 7 10%
Biochemistry, Genetics and Molecular Biology 4 6%
Social Sciences 4 6%
Other 16 24%
Unknown 13 19%
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 07 November 2018.
All research outputs
#6,929,526
of 22,721,584 outputs
Outputs from Human Genetics
#850
of 2,950 outputs
Outputs of similar age
#59,651
of 197,463 outputs
Outputs of similar age from Human Genetics
#9
of 16 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,950 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 70% 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 197,463 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 68% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.