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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SLC26A4 gene copy number variations in Chinese patients with non-syndromic enlarged vestibular aqueduct
|
|---|---|
| Published in |
Journal of Translational Medicine, May 2012
|
| DOI | 10.1186/1479-5876-10-82 |
| Pubmed ID | |
| Authors |
Jiandong Zhao, Yongyi Yuan, Jing Chen, Shasha Huang, Guojian Wang, Dongyi Han, Pu Dai |
| Abstract |
Many patients with enlarged vestibular aqueduct (EVA) have either only one allelic mutant of the SLC26A4 gene or lack any detectable mutation. In this study, multiplex ligation-dependent probe amplification (MLPA) was used to screen for copy number variations (CNVs) of SLC26A4 and to reveal the pathogenic mechanisms of non-syndromic EVA (NSEVA). |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 22% |
| Lecturer | 2 | 22% |
| Student > Doctoral Student | 2 | 22% |
| Student > Master | 1 | 11% |
| Unknown | 2 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 33% |
| Agricultural and Biological Sciences | 2 | 22% |
| Economics, Econometrics and Finance | 1 | 11% |
| Nursing and Health Professions | 1 | 11% |
| Unknown | 2 | 22% |
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 27 June 2012.
All research outputs
#18,309,495
of 22,669,724 outputs
Outputs from Journal of Translational Medicine
#2,925
of 3,954 outputs
Outputs of similar age
#126,216
of 163,468 outputs
Outputs of similar age from Journal of Translational Medicine
#34
of 62 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,954 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 16th percentile – i.e., 16% 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 163,468 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 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.