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Evidence-based guideline summary

Overview of attention for article published in Neurology, March 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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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1 policy source
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13 X users
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9 Facebook pages

Citations

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90 Dimensions

Readers on

mendeley
74 Mendeley
Title
Evidence-based guideline summary
Published in
Neurology, March 2015
DOI 10.1212/wnl.0000000000001416
Pubmed ID
Authors

Peter B Kang, Leslie Morrison, Susan T Iannaccone, Robert J Graham, Carsten G Bönnemann, Anne Rutkowski, Joseph Hornyak, Ching H Wang, Kathryn North, Maryam Oskoui, Thomas S D Getchius, Julie A Cox, Erin E Hagen, Gary Gronseth, Robert C Griggs

Abstract

To delineate optimal diagnostic and therapeutic approaches to congenital muscular dystrophy (CMD) through a systematic review and analysis of the currently available literature. Relevant, peer-reviewed research articles were identified using a literature search of the MEDLINE, EMBASE, and Scopus databases. Diagnostic and therapeutic data from these articles were extracted and analyzed in accordance with the American Academy of Neurology classification of evidence schemes for diagnostic, prognostic, and therapeutic studies. Recommendations were linked to the strength of the evidence, other related literature, and general principles of care. The geographic and ethnic backgrounds, clinical features, brain imaging studies, muscle imaging studies, and muscle biopsies of children with suspected CMD help predict subtype-specific diagnoses. Genetic testing can confirm some subtype-specific diagnoses, but not all causative genes for CMD have been described. Seizures and respiratory complications occur in specific subtypes. There is insufficient evidence to determine the efficacy of various treatment interventions to optimize respiratory, orthopedic, and nutritional outcomes, and more data are needed regarding complications. Multidisciplinary care by experienced teams is important for diagnosing and promoting the health of children with CMD. Accurate assessment of clinical presentations and genetic data will help in identifying the correct subtype-specific diagnosis in many cases. Multiorgan system complications occur frequently; surveillance and prompt interventions are likely to be beneficial for affected children. More research is needed to fill gaps in knowledge regarding this category of muscular dystrophies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 1%
Unknown 73 99%

Demographic breakdown

Readers by professional status Count As %
Other 11 15%
Researcher 10 14%
Student > Postgraduate 9 12%
Student > Master 6 8%
Student > Doctoral Student 6 8%
Other 19 26%
Unknown 13 18%
Readers by discipline Count As %
Medicine and Dentistry 34 46%
Agricultural and Biological Sciences 6 8%
Neuroscience 5 7%
Nursing and Health Professions 3 4%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 6 8%
Unknown 18 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 21 August 2017.
All research outputs
#2,604,319
of 25,193,883 outputs
Outputs from Neurology
#4,972
of 20,946 outputs
Outputs of similar age
#32,506
of 270,829 outputs
Outputs of similar age from Neurology
#71
of 260 outputs
Altmetric has tracked 25,193,883 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 20,946 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.6. This one has done well, scoring higher than 76% 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 270,829 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 260 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.