↓ Skip to main content

Exome sequencing identified a missense mutation of EPS8L3 in Marie Unna hereditary hypotrichosis

Overview of attention for article published in Journal of Medical Genetics, October 2012
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
twitter
4 tweeters

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
15 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Exome sequencing identified a missense mutation of EPS8L3 in 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.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hong Kong 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Ph. D. Student 3 20%
Unspecified 2 13%
Student > Master 1 7%
Other 1 7%
Other 4 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 40%
Medicine and Dentistry 5 33%
Unspecified 2 13%
Biochemistry, Genetics and Molecular Biology 1 7%
Materials Science 1 7%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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
#1,630,252
of 12,365,007 outputs
Outputs from Journal of Medical Genetics
#325
of 2,057 outputs
Outputs of similar age
#17,228
of 136,698 outputs
Outputs of similar age from Journal of Medical Genetics
#3
of 23 outputs
Altmetric has tracked 12,365,007 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,057 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 83% 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 136,698 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 87% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.