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A nomenclature and classification for the congenital myasthenic syndromes: preparing for FAIR data in the genomic era

Overview of attention for article published in Orphanet Journal of Rare Diseases, November 2018
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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 (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
11 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
34 Mendeley
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Title
A nomenclature and classification for the congenital myasthenic syndromes: preparing for FAIR data in the genomic era
Published in
Orphanet Journal of Rare Diseases, November 2018
DOI 10.1186/s13023-018-0955-7
Pubmed ID
Authors

Rachel Thompson, Angela Abicht, David Beeson, Andrew G. Engel, Bruno Eymard, Emmanuel Maxime, Hanns Lochmüller

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 24%
Student > Master 5 15%
Other 4 12%
Student > Ph. D. Student 4 12%
Student > Bachelor 2 6%
Other 4 12%
Unknown 7 21%
Readers by discipline Count As %
Medicine and Dentistry 10 29%
Biochemistry, Genetics and Molecular Biology 4 12%
Computer Science 4 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Nursing and Health Professions 2 6%
Other 3 9%
Unknown 9 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 01 December 2018.
All research outputs
#3,751,401
of 23,114,117 outputs
Outputs from Orphanet Journal of Rare Diseases
#500
of 2,648 outputs
Outputs of similar age
#83,060
of 437,588 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#10
of 45 outputs
Altmetric has tracked 23,114,117 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,648 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 81% 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 437,588 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 80% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.