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Exome sequencing allows for rapid gene identification in a Charcot‐Marie‐Tooth family

Overview of attention for article published in Annals of Neurology, January 2011
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mendeley
121 Mendeley
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2 CiteULike
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Article details
Title
Exome sequencing allows for rapid gene identification in a Charcot‐Marie‐Tooth family
Published in
Annals of Neurology, January 2011
DOI 10.1002/ana.22235
Pubmed ID
Authors
Abstract

Charcot-Marie-Tooth (CMT) disease comprises a large number of genetically distinct forms of inherited peripheral neuropathies. The relative uniform phenotypes in many patients with CMT make it difficult to decide which of the over 35 known CMT genes are affected in a given patient. Genetic testing decision trees are therefore broadly based on a small number of major subtypes (eg, CMT1, CMT2) and the observed mutation frequency for CMT genes. Since conventional genetic testing is expensive many rare genes are not being tested for at all.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 5 4%
Norway 2 2%
Korea, Republic of 2 2%
United Kingdom 2 2%
India 1 <1%
Hungary 1 <1%
Spain 1 <1%
Unknown 107 88%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 34 28%
Researcher 30 25%
Student > Bachelor 9 7%
Student > Master 9 7%
Other 7 6%
Other 22 18%
Unknown 10 8%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 42 35%
Medicine and Dentistry 28 23%
Biochemistry, Genetics and Molecular Biology 19 16%
Neuroscience 7 6%
Immunology and Microbiology 3 2%
Other 7 6%
Unknown 15 12%
Attention Score in Context

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 24 November 2017.
All research outputs
#16,191,677
of 24,627,841 outputs
Outputs from Annals of Neurology
#4,822
of 5,556 outputs
Outputs of similar age
#149,806
of 191,787 outputs
Outputs of similar age from Annals of Neurology
#29
of 35 outputs
Altmetric has tracked 24,627,841 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 5,556 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one is in the 12th percentile – i.e., 12% 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 191,787 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 35 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.