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A novel diagnostic method to predict subscapularis tendon tear with sagittal oblique view magnetic resonance imaging

Overview of attention for article published in Knee Surgery, Sports Traumatology, Arthroscopy, October 2018
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1 X user

Citations

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Readers on

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39 Mendeley
Title
A novel diagnostic method to predict subscapularis tendon tear with sagittal oblique view magnetic resonance imaging
Published in
Knee Surgery, Sports Traumatology, Arthroscopy, October 2018
DOI 10.1007/s00167-018-5203-0
Pubmed ID
Authors

Jae Woo Shim, Chae Hyun Pang, Seul Ki Min, Jeung Yeol Jeong, Jae Chul Yoo

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

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 10%
Student > Ph. D. Student 4 10%
Student > Bachelor 4 10%
Student > Postgraduate 3 8%
Researcher 3 8%
Other 8 21%
Unknown 13 33%
Readers by discipline Count As %
Medicine and Dentistry 13 33%
Nursing and Health Professions 5 13%
Sports and Recreations 3 8%
Unknown 18 46%
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 15 October 2018.
All research outputs
#20,536,001
of 23,106,390 outputs
Outputs from Knee Surgery, Sports Traumatology, Arthroscopy
#2,470
of 2,681 outputs
Outputs of similar age
#301,516
of 346,934 outputs
Outputs of similar age from Knee Surgery, Sports Traumatology, Arthroscopy
#75
of 83 outputs
Altmetric has tracked 23,106,390 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 2,681 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. 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 346,934 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 83 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.