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Audioprofiling identifies TECTA and GJB2‐related deafness segregating in a single extended pedigree

Overview of attention for article published in Clinical Genetics, July 2007
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Article details
Title
Audioprofiling identifies TECTA and GJB2‐related deafness segregating in a single extended pedigree
Published in
Clinical Genetics, July 2007
DOI 10.1111/j.1399-0004.2007.00828.x
Pubmed ID
Authors
Abstract

An audioprofile displays phenotypic data from several audiograms on a single graph that share a common genotype. In this report, we describe the application of audioprofiling to a large family in which a genome-wide screen failed to identify a deafness locus. Analysis of audiograms by audioprofiling suggested that two persons with hearing impairment had a different deafness genotype. On this basis, we reassigned affectation status and identified a p.Cys1837Arg autosomal dominant mutation in alpha-tectorin segregating in all family members except two persons, who segregated autosomal recessive deafness caused by p.Val37Ile and p.Leu90Pro mutations in Connexin 26. One nuclear family in the extended pedigree segregates both dominant and recessive non-syndromic hearing loss.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 21 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 1 5%
France 1 5%
Unknown 19 90%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 5 24%
Researcher 5 24%
Student > Ph. D. Student 4 19%
Student > Doctoral Student 3 14%
Lecturer > Senior Lecturer 1 5%
Other 1 5%
Unknown 2 10%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 7 33%
Medicine and Dentistry 6 29%
Biochemistry, Genetics and Molecular Biology 5 24%
Neuroscience 1 5%
Unknown 2 10%
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 14 July 2018.
All research outputs
#8,207,442
of 24,590,593 outputs
Outputs from Clinical Genetics
#673
of 2,562 outputs
Outputs of similar age
#25,900
of 70,220 outputs
Outputs of similar age from Clinical Genetics
#4
of 15 outputs
Altmetric has tracked 24,590,593 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,562 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 45th percentile – i.e., 45% 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 70,220 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.