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Automation of classification of sleep stages and estimation of sleep efficiency using actigraphy

Overview of attention for article published in Frontiers in Public Health, January 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
29 Mendeley
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Title
Automation of classification of sleep stages and estimation of sleep efficiency using actigraphy
Published in
Frontiers in Public Health, January 2023
DOI 10.3389/fpubh.2022.1092222
Pubmed ID
Authors

Hyejin Kim, Dongsin Kim, Junhyoung Oh

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 7%
Unspecified 1 3%
Student > Bachelor 1 3%
Student > Doctoral Student 1 3%
Student > Ph. D. Student 1 3%
Other 1 3%
Unknown 22 76%
Readers by discipline Count As %
Medicine and Dentistry 2 7%
Unspecified 1 3%
Agricultural and Biological Sciences 1 3%
Computer Science 1 3%
Psychology 1 3%
Other 1 3%
Unknown 22 76%
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 27 January 2023.
All research outputs
#13,092,520
of 23,622,736 outputs
Outputs from Frontiers in Public Health
#2,823
of 11,320 outputs
Outputs of similar age
#146,035
of 439,436 outputs
Outputs of similar age from Frontiers in Public Health
#157
of 1,258 outputs
Altmetric has tracked 23,622,736 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,320 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has gotten more attention than average, scoring higher than 74% 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 439,436 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 66% of its contemporaries.
We're also able to compare this research output to 1,258 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.