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Deep autoencoder-powered pattern identification of sleep disturbance using multi-site cross-sectional survey data

Overview of attention for article published in Frontiers in Medicine, July 2022
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2 X users

Citations

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3 Dimensions

Readers on

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26 Mendeley
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Title
Deep autoencoder-powered pattern identification of sleep disturbance using multi-site cross-sectional survey data
Published in
Frontiers in Medicine, July 2022
DOI 10.3389/fmed.2022.950327
Pubmed ID
Authors

Hyeonhoon Lee, Yujin Choi, Byunwoo Son, Jinwoong Lim, Seunghoon Lee, Jung Won Kang, Kun Hyung Kim, Eun Jung Kim, Changsop Yang, Jae-Dong Lee

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 12%
Student > Ph. D. Student 2 8%
Lecturer 1 4%
Student > Bachelor 1 4%
Other 1 4%
Other 3 12%
Unknown 15 58%
Readers by discipline Count As %
Medicine and Dentistry 3 12%
Nursing and Health Professions 2 8%
Psychology 2 8%
Computer Science 1 4%
Environmental Science 1 4%
Other 2 8%
Unknown 15 58%
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 16 August 2022.
All research outputs
#19,755,933
of 24,279,062 outputs
Outputs from Frontiers in Medicine
#4,597
of 6,551 outputs
Outputs of similar age
#307,865
of 420,296 outputs
Outputs of similar age from Frontiers in Medicine
#385
of 551 outputs
Altmetric has tracked 24,279,062 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,551 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 11th percentile – i.e., 11% 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 420,296 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 551 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.