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Genotype-Phenotype Correlations and Characterization of Medication Use in Inherited Myotonic Disorders

Overview of attention for article published in Frontiers in Neurology, June 2020
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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

news
1 news outlet
twitter
4 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
23 Mendeley
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Title
Genotype-Phenotype Correlations and Characterization of Medication Use in Inherited Myotonic Disorders
Published in
Frontiers in Neurology, June 2020
DOI 10.3389/fneur.2020.00593
Pubmed ID
Authors

Alayne P. Meyer, Jennifer Roggenbuck, Samantha LoRusso, John Kissel, Rachel M. Smith, David Kline, W. David Arnold

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 13%
Student > Ph. D. Student 3 13%
Lecturer 2 9%
Other 1 4%
Student > Doctoral Student 1 4%
Other 4 17%
Unknown 9 39%
Readers by discipline Count As %
Medicine and Dentistry 4 17%
Biochemistry, Genetics and Molecular Biology 3 13%
Neuroscience 3 13%
Nursing and Health Professions 1 4%
Unspecified 1 4%
Other 2 9%
Unknown 9 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 September 2020.
All research outputs
#2,610,676
of 23,301,510 outputs
Outputs from Frontiers in Neurology
#1,403
of 12,206 outputs
Outputs of similar age
#69,885
of 400,403 outputs
Outputs of similar age from Frontiers in Neurology
#127
of 425 outputs
Altmetric has tracked 23,301,510 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,206 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 88% 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 400,403 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 82% of its contemporaries.
We're also able to compare this research output to 425 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 70% of its contemporaries.