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Case-Ascertainment Models to Identify Adults with Obstructive Sleep Apnea Using Health Administrative Data: Internal and External Validation

Overview of attention for article published in Clinical Epidemiology, June 2021
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1 X user

Citations

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23 Mendeley
Title
Case-Ascertainment Models to Identify Adults with Obstructive Sleep Apnea Using Health Administrative Data: Internal and External Validation
Published in
Clinical Epidemiology, June 2021
DOI 10.2147/clep.s308852
Pubmed ID
Authors

Tetyana Kendzerska, Carl van Walraven, Daniel I McIsaac, Marcus Povitz, Sunita Mulpuru, Isac Lima, Robert Talarico, Shawn D Aaron, William Reisman, Andrea S Gershon

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

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 17%
Student > Doctoral Student 3 13%
Lecturer > Senior Lecturer 1 4%
Other 1 4%
Professor > Associate Professor 1 4%
Other 1 4%
Unknown 12 52%
Readers by discipline Count As %
Medicine and Dentistry 3 13%
Nursing and Health Professions 2 9%
Environmental Science 1 4%
Linguistics 1 4%
Unknown 16 70%
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 02 September 2021.
All research outputs
#18,809,260
of 23,310,485 outputs
Outputs from Clinical Epidemiology
#585
of 734 outputs
Outputs of similar age
#323,407
of 448,060 outputs
Outputs of similar age from Clinical Epidemiology
#16
of 19 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 734 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 8th percentile – i.e., 8% 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 448,060 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 19 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.