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Genotype-phenotype correlations of amyotrophic lateral sclerosis

Overview of attention for article published in Translational Neurodegeneration, February 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

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73 Dimensions

Readers on

mendeley
160 Mendeley
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Title
Genotype-phenotype correlations of amyotrophic lateral sclerosis
Published in
Translational Neurodegeneration, February 2016
DOI 10.1186/s40035-016-0050-8
Pubmed ID
Authors

Hong-Fu Li, Zhi-Ying Wu

Abstract

Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease characterized by progressive neuronal loss and degeneration of upper motor neuron (UMN) and lower motor neuron (LMN). The clinical presentations of ALS are heterogeneous and there is no single test or procedure to establish the diagnosis of ALS. Most cases are diagnosed based on symptoms, physical signs, progression, EMG, and tests to exclude the overlapping conditions. Familial ALS represents about 5 ~ 10 % of ALS cases, whereas the vast majority of patients are sporadic. To date, more than 20 causative genes have been identified in hereditary ALS. Detecting the pathogenic mutations or risk variants for each ALS individual is challenging. However, ALS patients carrying some specific mutations or variant may exhibit subtly distinct clinical features. Unraveling the respective genotype-phenotype correlation has important implications for the genetic explanations. In this review, we will delineate the clinical features of ALS, outline the major ALS-related genes, and summarize the possible genotype-phenotype correlations of ALS.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 <1%
United States 1 <1%
Brazil 1 <1%
Unknown 157 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 18%
Student > Bachelor 28 18%
Researcher 18 11%
Student > Master 15 9%
Other 10 6%
Other 27 17%
Unknown 34 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 19%
Medicine and Dentistry 30 19%
Neuroscience 30 19%
Agricultural and Biological Sciences 18 11%
Nursing and Health Professions 4 3%
Other 9 6%
Unknown 39 24%
Attention Score in Context

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 12 February 2016.
All research outputs
#3,415,510
of 25,374,917 outputs
Outputs from Translational Neurodegeneration
#165
of 384 outputs
Outputs of similar age
#57,108
of 405,859 outputs
Outputs of similar age from Translational Neurodegeneration
#2
of 5 outputs
Altmetric has tracked 25,374,917 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 384 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.7. This one has gotten more attention than average, scoring higher than 52% 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 405,859 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.