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Threshold-based quantification of fatty degeneration in the supraspinatus muscle on MRI as an alternative method to Goutallier classification and single-voxel MR spectroscopy

Overview of attention for article published in BMC Musculoskeletal Disorders, June 2020
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1 X user

Citations

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9 Dimensions

Readers on

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18 Mendeley
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Title
Threshold-based quantification of fatty degeneration in the supraspinatus muscle on MRI as an alternative method to Goutallier classification and single-voxel MR spectroscopy
Published in
BMC Musculoskeletal Disorders, June 2020
DOI 10.1186/s12891-020-03400-4
Pubmed ID
Authors

Dokwan Lee, Ki-Taek Hong, Wonhee Lee, Eun Kyung Khil, Guen Young Lee, Jung-Ah Choi, Yongnam Song

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 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 > Bachelor 3 17%
Researcher 2 11%
Student > Ph. D. Student 1 6%
Student > Master 1 6%
Student > Postgraduate 1 6%
Other 0 0%
Unknown 10 56%
Readers by discipline Count As %
Engineering 2 11%
Nursing and Health Professions 2 11%
Biochemistry, Genetics and Molecular Biology 1 6%
Medicine and Dentistry 1 6%
Computer Science 1 6%
Other 0 0%
Unknown 11 61%
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 11 June 2020.
All research outputs
#20,622,845
of 23,213,531 outputs
Outputs from BMC Musculoskeletal Disorders
#3,697
of 4,125 outputs
Outputs of similar age
#340,993
of 398,726 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#77
of 86 outputs
Altmetric has tracked 23,213,531 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 4,125 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. 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 398,726 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 86 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.