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Decoding Neuromuscular Disorders Using Phenotypic Clusters Obtained From Co-Occurrence Networks

Overview of attention for article published in Frontiers in Molecular Biosciences, April 2021
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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 (79th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
18 Mendeley
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Title
Decoding Neuromuscular Disorders Using Phenotypic Clusters Obtained From Co-Occurrence Networks
Published in
Frontiers in Molecular Biosciences, April 2021
DOI 10.3389/fmolb.2021.635074
Pubmed ID
Authors

Elena Díaz-Santiago, M. Gonzalo Claros, Raquel Yahyaoui, Yolanda de Diego-Otero, Rocío Calvo, Janet Hoenicka, Francesc Palau, Juan A. G. Ranea, James R. Perkins

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.
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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 22%
Unspecified 1 6%
Other 1 6%
Student > Bachelor 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 9 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 22%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Unspecified 1 6%
Agricultural and Biological Sciences 1 6%
Medicine and Dentistry 1 6%
Other 0 0%
Unknown 10 56%
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 27 April 2022.
All research outputs
#3,718,380
of 23,622,736 outputs
Outputs from Frontiers in Molecular Biosciences
#311
of 4,122 outputs
Outputs of similar age
#88,916
of 435,399 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#41
of 417 outputs
Altmetric has tracked 23,622,736 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,122 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 92% 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 435,399 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 79% of its contemporaries.
We're also able to compare this research output to 417 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.