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EEG brain signals to detect the sleep health of a driver: An automated framework system based on deep learning

Overview of attention for article published in Frontiers in Human Neuroscience, August 2022
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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13 Mendeley
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Title
EEG brain signals to detect the sleep health of a driver: An automated framework system based on deep learning
Published in
Frontiers in Human Neuroscience, August 2022
DOI 10.3389/fnhum.2022.915276
Pubmed ID
Authors

Halima Ettahiri, José Manuel Ferrández Vicente, Taoufiq Fechtali

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 15%
Unspecified 1 8%
Lecturer 1 8%
Other 1 8%
Unknown 8 62%
Readers by discipline Count As %
Environmental Science 1 8%
Agricultural and Biological Sciences 1 8%
Neuroscience 1 8%
Engineering 1 8%
Unknown 9 69%
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 25 August 2022.
All research outputs
#20,587,621
of 23,172,045 outputs
Outputs from Frontiers in Human Neuroscience
#6,595
of 7,234 outputs
Outputs of similar age
#343,091
of 432,861 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#150
of 191 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,234 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 1st percentile – i.e., 1% 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 432,861 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 191 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.