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Treatment Algorithm for Infants Diagnosed with Spinal Muscular Atrophy through Newborn Screening

Overview of attention for article published in Journal of Neuromuscular Diseases, March 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#39 of 569)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

news
1 news outlet
policy
3 policy sources
twitter
3 X users
patent
1 patent
wikipedia
3 Wikipedia pages

Readers on

mendeley
290 Mendeley
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Article details
Title
Treatment Algorithm for Infants Diagnosed with Spinal Muscular Atrophy through Newborn Screening
Published in
Journal of Neuromuscular Diseases, March 2018
DOI 10.3233/jnd-180304
Pubmed ID
Authors
Abstract

Spinal muscular atrophy (SMA) is an autosomal recessive disease characterized by the degeneration of alpha motor neurons in the spinal cord, leading to muscular atrophy. SMA is caused by deletions or mutations in the survival motor neuron 1 gene (SMN1). In humans, a nearly identical copy gene, SMN2, is present. Because SMN2 has been shown to decrease disease severity in a dose-dependent manner, SMN2 copy number is predictive of disease severity. To develop a treatment algorithm for SMA-positive infants identified through newborn screening based upon SMN2 copy number. A working group comprised of 15 SMA experts participated in a modified Delphi process, moderated by a neutral third-party expert, to develop treatment guidelines. The overarching recommendation is that all infants with two or three copies of SMN2 should receive immediate treatment (n = 13). For those infants in which immediate treatment is not recommended, guidelines were developed that outline the timing and appropriate screens and tests to be used to determine the timing of treatment initiation. The identification SMA affected infants via newborn screening presents an unprecedented opportunity for achievement of maximal therapeutic benefit through the administration of treatment pre-symptomatically. The recommendations provided here are intended to help formulate treatment guidelines for infants who test positive during the newborn screening process.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 290 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 %
Unknown 290 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 32 11%
Other 30 10%
Student > Master 29 10%
Student > Bachelor 22 8%
Student > Ph. D. Student 18 6%
Other 45 16%
Unknown 114 39%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 63 22%
Biochemistry, Genetics and Molecular Biology 35 12%
Neuroscience 19 7%
Nursing and Health Professions 14 5%
Agricultural and Biological Sciences 9 3%
Other 30 10%
Unknown 120 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 18 April 2024.
All research outputs
#1,811,808
of 34,115,020 outputs
Outputs from Journal of Neuromuscular Diseases
#39
of 569 outputs
Outputs of similar age
#30,236
of 373,232 outputs
Outputs of similar age from Journal of Neuromuscular Diseases
#3
of 13 outputs
Altmetric has tracked 34,115,020 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 569 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has done particularly well, scoring higher than 93% 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 373,232 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 13 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.