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The genetics of Charcot–Marie–Tooth disease: current trends and future implications for diagnosis and management

Overview of attention for article published in The Application of Clinical Genetics, October 2015
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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 (85th percentile)

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2 X users
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2 Facebook pages
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2 Wikipedia pages

Citations

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62 Dimensions

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198 Mendeley
Title
The genetics of Charcot–Marie–Tooth disease: current trends and future implications for diagnosis and management
Published in
The Application of Clinical Genetics, October 2015
DOI 10.2147/tacg.s69969
Pubmed ID
Authors

J Chad Hoyle, Michael C Isfort, Jennifer Roggenbuck, W David Arnold

Abstract

Charcot-Marie-Tooth (CMT) disease is the most common hereditary polyneuropathy and is classically associated with an insidious onset of distal predominant motor and sensory loss, muscle wasting, and pes cavus. Other forms of hereditary neuropathy, including sensory predominant or motor predominant forms, are sometimes included in the general classification of CMT, but for the purpose of this review, we will focus primarily on the forms associated with both sensory and motor deficits. CMT has a great deal of genetic heterogeneity, leading to diagnostic considerations that are still rapidly evolving for this disorder. Clinical features, inheritance pattern, gene mutation frequencies, and electrodiagnostic features all are helpful in formulating targeted testing algorithms in practical clinical settings, but these still have shortcomings. Next-generation sequencing (NGS), combined with multigene testing panels, is increasing the sensitivity and efficiency of genetic testing and is quickly overtaking targeted testing strategies. Currently, multigene panel testing and NGS can be considered first-line in many circumstances, although obtaining initial targeted testing for the PMP22 duplication in CMT patients with demyelinating conduction velocities is still a reasonable strategy. As technology improves and cost continues to fall, targeted testing will be completely replaced by multigene NGS panels that can detect the full spectrum of CMT mutations. Nevertheless, clinical acumen is still necessary given the variants of uncertain significance encountered with NGS. Despite the current limitations, the genetic diagnosis of CMT is critical for accurate prognostication, genetic counseling, and in the future, specific targeted therapies. Although whole exome and whole genome sequencing strategies have the power to further elucidate the genetics of CMT, continued technological advances are needed.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 198 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 16%
Student > Bachelor 28 14%
Student > Ph. D. Student 27 14%
Researcher 17 9%
Student > Doctoral Student 9 5%
Other 29 15%
Unknown 56 28%
Readers by discipline Count As %
Medicine and Dentistry 37 19%
Biochemistry, Genetics and Molecular Biology 36 18%
Agricultural and Biological Sciences 22 11%
Neuroscience 16 8%
Nursing and Health Professions 10 5%
Other 11 6%
Unknown 66 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 13 November 2022.
All research outputs
#3,202,333
of 25,748,735 outputs
Outputs from The Application of Clinical Genetics
#1
of 1 outputs
Outputs of similar age
#41,140
of 287,782 outputs
Outputs of similar age from The Application of Clinical Genetics
#1
of 1 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one scored the same or higher as 0 of them.
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 287,782 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 85% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them