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LTBP4 genotype predicts age of ambulatory loss in duchenne muscular dystrophy

Overview of attention for article published in Annals of Neurology, February 2013
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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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

policy
1 policy source
twitter
6 X users
patent
10 patents
facebook
1 Facebook page

Readers on

mendeley
148 Mendeley
citeulike
1 CiteULike
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Article details
Title
LTBP4 genotype predicts age of ambulatory loss in duchenne muscular dystrophy
Published in
Annals of Neurology, February 2013
DOI 10.1002/ana.23819
Pubmed ID
Authors
Abstract

Duchenne muscular dystrophy (DMD) displays a clinical range that is not fully explained by the primary DMD mutations. Ltbp4, encoding latent transforming growth factor-β binding protein 4, was previously discovered in a genome-wide scan as a modifier of murine muscular dystrophy. We sought to determine whether LTBP4 genotype influenced DMD severity in a large patient cohort.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 148 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 1 <1%
Netherlands 1 <1%
Unknown 146 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 22 15%
Researcher 18 12%
Student > Master 16 11%
Other 14 9%
Student > Bachelor 10 7%
Other 29 20%
Unknown 39 26%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 28 19%
Agricultural and Biological Sciences 25 17%
Medicine and Dentistry 22 15%
Nursing and Health Professions 6 4%
Neuroscience 6 4%
Other 17 11%
Unknown 44 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 26 April 2023.
All research outputs
#3,552,666
of 33,779,198 outputs
Outputs from Annals of Neurology
#1,642
of 6,809 outputs
Outputs of similar age
#25,411
of 235,418 outputs
Outputs of similar age from Annals of Neurology
#12
of 51 outputs
Altmetric has tracked 33,779,198 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,809 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.5. This one has done well, scoring higher than 75% 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 235,418 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 89% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.