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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High-throughput sequencing to decipher the genetic heterogeneity of deafness
|
|---|---|
| Published in |
Genome Biology, May 2012
|
| DOI | 10.1186/gb-2012-13-5-245 |
| Pubmed ID | |
| Authors |
Zippora Brownstein, Yoni Bhonker, Karen B Avraham |
| Abstract |
Identifying genes causing non-syndromic hearing loss has been challenging using traditional approaches. We describe the impact that high-throughput sequencing approaches are having in discovery of genes related to hearing loss and the implications for clinical diagnosis. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 25% |
| Researcher | 7 | 25% |
| Student > Master | 6 | 21% |
| Student > Bachelor | 3 | 11% |
| Professor > Associate Professor | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 3 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 32% |
| Biochemistry, Genetics and Molecular Biology | 8 | 29% |
| Medicine and Dentistry | 6 | 21% |
| Social Sciences | 1 | 4% |
| Unknown | 4 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 30 May 2012.
All research outputs
#19,945,185
of 25,374,917 outputs
Outputs from Genome Biology
#4,233
of 4,467 outputs
Outputs of similar age
#134,967
of 178,783 outputs
Outputs of similar age from Genome Biology
#42
of 43 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 4th percentile – i.e., 4% 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 178,783 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.