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X Demographics
Mendeley readers
Attention Score in Context
| 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 | |
| Authors |
A Eliot Shearer, Diana L Kolbe, Hela Azaiez, Christina M Sloan, Kathy L Frees, Amy E Weaver, Erika T Clark, Carla J Nishimura, E Ann Black-Ziegelbein, Richard J H Smith |
| 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. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Uruguay | 1 | 33% |
| France | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | <1% |
| Unknown | 106 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 17% |
| Student > Master | 16 | 15% |
| Researcher | 13 | 12% |
| Student > Postgraduate | 10 | 9% |
| Student > Doctoral Student | 9 | 8% |
| Other | 18 | 17% |
| Unknown | 23 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 29 | 27% |
| Medicine and Dentistry | 24 | 22% |
| Agricultural and Biological Sciences | 15 | 14% |
| Environmental Science | 2 | 2% |
| Nursing and Health Professions | 2 | 2% |
| Other | 4 | 4% |
| Unknown | 31 | 29% |
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.