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Feasibility of using cross-sectional area of masticatory muscles to predict sarcopenia in healthy aging subjects

Overview of attention for article published in Scientific Reports, January 2024
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Title
Feasibility of using cross-sectional area of masticatory muscles to predict sarcopenia in healthy aging subjects
Published in
Scientific Reports, January 2024
DOI 10.1038/s41598-024-51589-4
Pubmed ID
Authors

Aleksa Janović, Biljana Miličić, Svetlana Antić, Đurđa Bracanović, Biljana Marković-Vasiljković

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 100%
Readers by discipline Count As %
Nursing and Health Professions 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 January 2024.
All research outputs
#22,613,877
of 25,225,928 outputs
Outputs from Scientific Reports
#119,363
of 138,756 outputs
Outputs of similar age
#121,179
of 150,970 outputs
Outputs of similar age from Scientific Reports
#1,161
of 1,493 outputs
Altmetric has tracked 25,225,928 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 138,756 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 150,970 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,493 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.