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Copy number variants are a common cause of non-syndromic hearing loss.

Overview of attention for article published in Genome Medicine, May 2014
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Mentioned by

twitter
3 tweeters

Citations

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144 Dimensions

Readers on

mendeley
102 Mendeley
citeulike
3 CiteULike
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Title
Copy number variants are a common cause of non-syndromic hearing loss.
Published in
Genome Medicine, May 2014
DOI 10.1186/gm554
Pubmed ID
Abstract

Copy number variants (CNVs) are a well-recognized cause of genetic disease; however, methods for their identification are often gene-specific, excluded as 'routine' in screens of genetically heterogeneous disorders, and not implemented in most next-generation sequencing pipelines. For this reason, the contribution of CNVs to non-syndromic hearing loss (NSHL) is most likely under-recognized. We aimed to incorporate a method for CNV identification as part of our standard analysis pipeline and to determine the contribution of CNVs to genetic hearing loss.

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
Unknown 101 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 18%
Student > Master 15 15%
Researcher 13 13%
Student > Doctoral Student 9 9%
Student > Postgraduate 9 9%
Other 17 17%
Unknown 21 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 26%
Medicine and Dentistry 23 23%
Agricultural and Biological Sciences 15 15%
Environmental Science 2 2%
Nursing and Health Professions 2 2%
Other 4 4%
Unknown 29 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 June 2014.
All research outputs
#14,781,203
of 22,756,196 outputs
Outputs from Genome Medicine
#1,289
of 1,437 outputs
Outputs of similar age
#126,696
of 226,264 outputs
Outputs of similar age from Genome Medicine
#10
of 11 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,437 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one is in the 8th percentile – i.e., 8% 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 226,264 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.