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Skeletal muscle-focused guideline development: hierarchical model incorporating muscle form, function, and clinical outcomes

Overview of attention for article published in Applied Physiology, Nutrition, and Metabolism, July 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

twitter
87 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
30 Mendeley
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Title
Skeletal muscle-focused guideline development: hierarchical model incorporating muscle form, function, and clinical outcomes
Published in
Applied Physiology, Nutrition, and Metabolism, July 2023
DOI 10.1139/apnm-2023-0176
Pubmed ID
Authors

Steven B. Heymsfield, Carla M. Prado, Maria Cristina Gonzalez

X Demographics

X Demographics

The data shown below were collected from the profiles of 87 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 20%
Researcher 5 17%
Unspecified 3 10%
Student > Doctoral Student 2 7%
Student > Postgraduate 2 7%
Other 4 13%
Unknown 8 27%
Readers by discipline Count As %
Nursing and Health Professions 9 30%
Medicine and Dentistry 4 13%
Unspecified 3 10%
Biochemistry, Genetics and Molecular Biology 1 3%
Sports and Recreations 1 3%
Other 1 3%
Unknown 11 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 47. 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 2024.
All research outputs
#925,748
of 26,180,352 outputs
Outputs from Applied Physiology, Nutrition, and Metabolism
#166
of 2,370 outputs
Outputs of similar age
#17,570
of 370,502 outputs
Outputs of similar age from Applied Physiology, Nutrition, and Metabolism
#1
of 23 outputs
Altmetric has tracked 26,180,352 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,370 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.0. 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 370,502 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 95% of its contemporaries.
We're also able to compare this research output to 23 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 95% of its contemporaries.