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Use of Non-Specific Knee Diagnoses and Incidence of Obscure Knee Injuries in a Large Government Health System

Overview of attention for article published in Clinical Epidemiology, October 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
8 Mendeley
Title
Use of Non-Specific Knee Diagnoses and Incidence of Obscure Knee Injuries in a Large Government Health System
Published in
Clinical Epidemiology, October 2022
DOI 10.2147/clep.s375040
Pubmed ID
Authors

Daniel I Rhon, Xiaoning Yuan, Brian T Barlow, Lisa N Konitzer, Chad E Cook

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 13%
Professor 1 13%
Student > Ph. D. Student 1 13%
Student > Master 1 13%
Researcher 1 13%
Other 0 0%
Unknown 3 38%
Readers by discipline Count As %
Nursing and Health Professions 2 25%
Biochemistry, Genetics and Molecular Biology 1 13%
Business, Management and Accounting 1 13%
Sports and Recreations 1 13%
Unknown 3 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 October 2022.
All research outputs
#13,339,603
of 23,509,982 outputs
Outputs from Clinical Epidemiology
#354
of 742 outputs
Outputs of similar age
#164,570
of 440,563 outputs
Outputs of similar age from Clinical Epidemiology
#4
of 19 outputs
Altmetric has tracked 23,509,982 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 742 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one has gotten more attention than average, scoring higher than 51% 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 440,563 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.