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Obstructive Sleep Apnea Detection Based on Sleep Sounds via Deep Learning

Overview of attention for article published in Nature and science of sleep, November 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
10 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Obstructive Sleep Apnea Detection Based on Sleep Sounds via Deep Learning
Published in
Nature and science of sleep, November 2022
DOI 10.2147/nss.s373367
Pubmed ID
Authors

Bochun Wang, Xianwen Tang, Hao Ai, Yanru Li, Wen Xu, Xingjun Wang, Demin Han

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 6 19%
Student > Ph. D. Student 5 16%
Lecturer 2 6%
Other 1 3%
Student > Doctoral Student 1 3%
Other 5 16%
Unknown 12 38%
Readers by discipline Count As %
Unspecified 6 19%
Computer Science 5 16%
Medicine and Dentistry 3 9%
Engineering 2 6%
Neuroscience 1 3%
Other 1 3%
Unknown 14 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 17 November 2022.
All research outputs
#7,383,059
of 25,872,466 outputs
Outputs from Nature and science of sleep
#260
of 633 outputs
Outputs of similar age
#132,401
of 443,741 outputs
Outputs of similar age from Nature and science of sleep
#10
of 26 outputs
Altmetric has tracked 25,872,466 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 633 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has gotten more attention than average, scoring higher than 58% 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 443,741 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 69% of its contemporaries.
We're also able to compare this research output to 26 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 61% of its contemporaries.