| Title |
Confidence-Based Framework Using Deep Learning for Automated Sleep Stage Scoring
|
|---|---|
| Published in |
Nature and science of sleep, December 2021
|
| DOI | 10.2147/nss.s333566 |
| Pubmed ID | |
| Authors |
Jung Kyung Hong, Taeyoung Lee, Roben Deocampo Delos Reyes, Joonki Hong, Hai Hong Tran, Dongheon Lee, Jinhwan Jung, In-Young Yoon |
X Demographics
The data shown below were collected from the profiles of 6 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 | 50% |
| Spain | 1 | 17% |
| Colombia | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 19% |
| Other | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Student > Master | 1 | 6% |
| Researcher | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 9 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 19% |
| Agricultural and Biological Sciences | 2 | 13% |
| Environmental Science | 1 | 6% |
| Computer Science | 1 | 6% |
| Unknown | 9 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 January 2024.
All research outputs
#6,378,769
of 25,392,582 outputs
Outputs from Nature and science of sleep
#232
of 629 outputs
Outputs of similar age
#131,905
of 514,146 outputs
Outputs of similar age from Nature and science of sleep
#8
of 29 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 629 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has gotten more attention than average, scoring higher than 62% 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 514,146 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 74% of its contemporaries.
We're also able to compare this research output to 29 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.