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Deep Learning in Automatic Sleep Staging With a Single Channel Electroencephalography

Overview of attention for article published in Frontiers in Physiology, March 2021
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2 X users

Citations

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40 Dimensions

Readers on

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57 Mendeley
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Title
Deep Learning in Automatic Sleep Staging With a Single Channel Electroencephalography
Published in
Frontiers in Physiology, March 2021
DOI 10.3389/fphys.2021.628502
Pubmed ID
Authors

Mingyu Fu, Yitian Wang, Zixin Chen, Jin Li, Fengguo Xu, Xinyu Liu, Fengzhen Hou

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

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 12%
Researcher 5 9%
Other 5 9%
Student > Doctoral Student 2 4%
Student > Bachelor 2 4%
Other 6 11%
Unknown 30 53%
Readers by discipline Count As %
Engineering 6 11%
Computer Science 6 11%
Neuroscience 4 7%
Medicine and Dentistry 3 5%
Environmental Science 1 2%
Other 4 7%
Unknown 33 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 22 March 2021.
All research outputs
#18,795,369
of 23,292,144 outputs
Outputs from Frontiers in Physiology
#8,381
of 14,013 outputs
Outputs of similar age
#317,056
of 420,394 outputs
Outputs of similar age from Frontiers in Physiology
#317
of 502 outputs
Altmetric has tracked 23,292,144 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 14,013 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 31st percentile – i.e., 31% 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 420,394 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 502 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.