Title |
SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach
|
---|---|
Published in |
PLOS ONE, May 2019
|
DOI | 10.1371/journal.pone.0216456 |
Pubmed ID | |
Authors |
Sajad Mousavi, Fatemeh Afghah, U. Rajendra Acharya |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 19% |
Italy | 1 | 6% |
Turkey | 1 | 6% |
Germany | 1 | 6% |
Unknown | 10 | 63% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 88% |
Scientists | 2 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 246 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 246 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 40 | 16% |
Student > Master | 32 | 13% |
Researcher | 25 | 10% |
Student > Bachelor | 21 | 9% |
Student > Doctoral Student | 11 | 4% |
Other | 27 | 11% |
Unknown | 90 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 45 | 18% |
Engineering | 40 | 16% |
Neuroscience | 18 | 7% |
Psychology | 8 | 3% |
Unspecified | 7 | 3% |
Other | 28 | 11% |
Unknown | 100 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 05 June 2023.
All research outputs
#3,713,977
of 24,998,746 outputs
Outputs from PLOS ONE
#48,616
of 216,789 outputs
Outputs of similar age
#75,018
of 356,673 outputs
Outputs of similar age from PLOS ONE
#757
of 2,813 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 216,789 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done well, scoring higher than 77% 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 356,673 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 2,813 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 72% of its contemporaries.