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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exome sequencing identified a missense mutation ofEPS8L3in Marie Unna hereditary hypotrichosis
|
|---|---|
| Published in |
Journal of Medical Genetics, October 2012
|
| DOI | 10.1136/jmedgenet-2012-101134 |
| Pubmed ID | |
| Authors |
Xin Zhang, Bi-Rong Guo, Li-Qiong Cai, Tao Jiang, Liang-Dan Sun, Yong Cui, Jing-Chu Hu, Jun Zhu, Gang Chen, Xian-Fa Tang, Guang-Qing Sun, Hua-Yang Tang, Yuan Liu, Min Li, Qi-Bin Li, Hui Cheng, Min Gao, Ping Li, Xu Yang, Xian-Bo Zuo, Xiao-Dong Zheng, Pei-Guang Wang, Jian Wang, Jun Wang, Jian-Jun Liu, Sen Yang, Ying-Rui Li, Xue-Jun Zhang |
| Abstract |
Marie Unna hereditary hypotrichosis (MUHH) is an autosomal dominant disorder characterised by coarse, wiry, twisted hair developed in early childhood and subsequent progressive hair loss. MUHH is a genetically heterogeneous disorder. No gene in 1p21.1-1q21.3 region responsible for MUHH has been identified. |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 2 | 50% |
| South Africa | 1 | 25% |
| China | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hong Kong | 1 | 5% |
| Unknown | 19 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 20% |
| Researcher | 4 | 20% |
| Student > Doctoral Student | 2 | 10% |
| Other | 1 | 5% |
| Professor | 1 | 5% |
| Other | 4 | 20% |
| Unknown | 4 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 40% |
| Agricultural and Biological Sciences | 6 | 30% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Materials Science | 1 | 5% |
| Unknown | 3 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 17 November 2012.
All research outputs
#3,253,492
of 22,684,168 outputs
Outputs from Journal of Medical Genetics
#560
of 2,913 outputs
Outputs of similar age
#24,483
of 183,393 outputs
Outputs of similar age from Journal of Medical Genetics
#11
of 31 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,913 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done well, scoring higher than 80% 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 183,393 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 31 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 61% of its contemporaries.