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Identification of CDH23 mutations in Korean families with hearing loss by whole-exome sequencing

Overview of attention for article published in BMC Medical Genomics, April 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
33 Mendeley
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Title
Identification of CDH23 mutations in Korean families with hearing loss by whole-exome sequencing
Published in
BMC Medical Genomics, April 2014
DOI 10.1186/1471-2350-15-46
Pubmed ID
Authors

Hae-Mi Woo, Hong-Joon Park, Mi-Hyun Park, Bo-Young Kim, Joong-Wook Shin, Won Gi Yoo, Soo Kyung Koo

Abstract

Patient genetic heterogeneity renders it difficult to discover disease-cause genes. Whole-exome sequencing is a powerful new strategy that can be used to this end. The purpose of the present study was to identify a hitherto unknown mutation causing autosomal recessive nonsyndromic hearing loss (ARNSHL) in Korean families.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 18%
Other 4 12%
Student > Bachelor 3 9%
Student > Master 3 9%
Researcher 2 6%
Other 4 12%
Unknown 11 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 24%
Agricultural and Biological Sciences 6 18%
Medicine and Dentistry 5 15%
Nursing and Health Professions 1 3%
Sports and Recreations 1 3%
Other 1 3%
Unknown 11 33%
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 24 November 2014.
All research outputs
#8,534,976
of 25,373,627 outputs
Outputs from BMC Medical Genomics
#637
of 2,444 outputs
Outputs of similar age
#80,404
of 242,065 outputs
Outputs of similar age from BMC Medical Genomics
#10
of 36 outputs
Altmetric has tracked 25,373,627 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 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 65% 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 242,065 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 52% of its contemporaries.
We're also able to compare this research output to 36 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 69% of its contemporaries.