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Newborn Screening for Spinal Muscular Atrophy by Calibrated Short-Amplicon Melt Profiling

Overview of attention for article published in Clinical Chemistry, June 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

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3 X users
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1 patent

Citations

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34 Dimensions

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33 Mendeley
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Title
Newborn Screening for Spinal Muscular Atrophy by Calibrated Short-Amplicon Melt Profiling
Published in
Clinical Chemistry, June 2012
DOI 10.1373/clinchem.2012.183038
Pubmed ID
Authors

Steven F. Dobrowolski, Ha T. Pham, Frances Pouch Downes, Thomas W. Prior, Edwin W. Naylor, Kathy J. Swoboda

Abstract

The management options for the autosomal recessive neurodegenerative disorder spinal muscular atrophy (SMA) are evolving; however, their efficacy may require presymptom diagnosis and continuous treatment. To identify presymptomatic SMA patients, we created a DNA-based newborn screening assay to identify the homozygous deletions of the SMN1 (survival of motor neuron 1, telomeric) gene observed in 95%-98% of affected patients.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 21%
Student > Ph. D. Student 6 18%
Student > Postgraduate 3 9%
Student > Bachelor 2 6%
Student > Master 2 6%
Other 5 15%
Unknown 8 24%
Readers by discipline Count As %
Medicine and Dentistry 11 33%
Biochemistry, Genetics and Molecular Biology 4 12%
Agricultural and Biological Sciences 2 6%
Neuroscience 2 6%
Decision Sciences 2 6%
Other 3 9%
Unknown 9 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 17 May 2022.
All research outputs
#5,567,444
of 22,664,267 outputs
Outputs from Clinical Chemistry
#2,165
of 7,360 outputs
Outputs of similar age
#38,826
of 165,310 outputs
Outputs of similar age from Clinical Chemistry
#12
of 57 outputs
Altmetric has tracked 22,664,267 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,360 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 70% 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 165,310 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 76% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.