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A Major Susceptibility Locus for Specific Language Impairment Is Located on 13q21

Overview of attention for article published in American Journal of Human Genetics, June 2002
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Article details
Title
A Major Susceptibility Locus for Specific Language Impairment Is Located on 13q21
Published in
American Journal of Human Genetics, June 2002
DOI 10.1086/341095
Pubmed ID
Authors
Abstract

Children who fail to develop language normally-in the absence of explanatory factors such as neurological disorders, hearing impairment, or lack of adequate opportunity-are clinically described as having specific language impairment (SLI). SLI has a prevalence of approximately 7% in children entering school and is associated with later difficulties in learning to read. Research indicates that genetic factors are important in the etiology of SLI. Studies have consistently demonstrated that SLI aggregates in families. Increased monozygotic versus dizygotic twin concordance rates indicate that heredity, not just shared environment, is the cause of the familial clustering. We have collected five pedigrees of Celtic ancestry that segregate SLI, and we have conducted genomewide categorical linkage analysis, using model-based LOD score techniques. Analysis was conducted under both dominant and recessive models by use of three phenotypic classifications: clinical diagnosis, language impairment (spoken language quotient <85) and reading discrepancy (nonverbal IQ minus non-word reading >15). Chromosome 13 yielded a maximum multipoint LOD score of 3.92 under the recessive reading discrepancy model. Simulation to correct for multiple models and multiple phenotypes indicated that the genomewide empirical P value is <.01. As an alternative measure, we also computed the posterior probability of linkage (PPL), obtaining a PPL of 53% in the same region. One other genomic region yielded suggestive results on chromosome 2 (multipoint LOD score 2.86, genomic P value <.06 under the recessive language impairment model). Our findings underscore the utility of traditional LOD-score-based methods in finding genes for complex diseases, specifically, SLI.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 2%
Netherlands 2 2%
Canada 2 2%
Norway 1 <1%
United Kingdom 1 <1%
Germany 1 <1%
Czechia 1 <1%
Unknown 122 92%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 29 22%
Student > Bachelor 15 11%
Professor 15 11%
Student > Ph. D. Student 15 11%
Professor > Associate Professor 9 7%
Other 22 17%
Unknown 27 20%
Readers by discipline
Readers by discipline Count As %
Psychology 30 23%
Agricultural and Biological Sciences 16 12%
Medicine and Dentistry 13 10%
Biochemistry, Genetics and Molecular Biology 11 8%
Neuroscience 10 8%
Other 21 16%
Unknown 31 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 February 2008.
All research outputs
#12,345,171
of 34,364,397 outputs
Outputs from American Journal of Human Genetics
#5,135
of 7,792 outputs
Outputs of similar age
#76,163
of 176,988 outputs
Outputs of similar age from American Journal of Human Genetics
#37
of 60 outputs
Altmetric has tracked 34,364,397 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,792 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.7. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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 176,988 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.