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Exploration of macromolecular phenotype of human skeletal muscle in diabetes using infrared spectroscopy

Overview of attention for article published in Frontiers in endocrinology, December 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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2 X users

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7 Mendeley
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Title
Exploration of macromolecular phenotype of human skeletal muscle in diabetes using infrared spectroscopy
Published in
Frontiers in endocrinology, December 2023
DOI 10.3389/fendo.2023.1308373
Pubmed ID
Authors

Barbara Zupančič, Chiedozie Kenneth Ugwoke, Mohamed Elwy Abdelhamed Abdelmonaem, Armin Alibegović, Erika Cvetko, Jože Grdadolnik, Anja Šerbec, Nejc Umek

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 29%
Researcher 1 14%
Unknown 4 57%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 14%
Materials Science 1 14%
Medicine and Dentistry 1 14%
Unknown 4 57%
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 21 December 2023.
All research outputs
#21,077,590
of 25,887,951 outputs
Outputs from Frontiers in endocrinology
#6,918
of 13,306 outputs
Outputs of similar age
#254,893
of 363,693 outputs
Outputs of similar age from Frontiers in endocrinology
#245
of 678 outputs
Altmetric has tracked 25,887,951 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,306 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 35th percentile – i.e., 35% 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 363,693 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 678 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 52% of its contemporaries.