| Title |
Obstructive Sleep Apnea Detection Based on Sleep Sounds via Deep Learning
|
|---|---|
| Published in |
Nature and science of sleep, November 2022
|
| DOI | 10.2147/nss.s373367 |
| Pubmed ID | |
| Authors |
Bochun Wang, Xianwen Tang, Hao Ai, Yanru Li, Wen Xu, Xingjun Wang, Demin Han |
X Demographics
The data shown below were collected from the profiles of 10 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 | 2 | 20% |
| Brazil | 1 | 10% |
| United Kingdom | 1 | 10% |
| France | 1 | 10% |
| Spain | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Science communicators (journalists, bloggers, editors) | 2 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
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 % |
|---|---|---|
| Student > Ph. D. Student | 5 | 19% |
| Student > Bachelor | 2 | 8% |
| Lecturer | 2 | 8% |
| Unspecified | 1 | 4% |
| Other | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 11 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 23% |
| Medicine and Dentistry | 2 | 8% |
| Engineering | 2 | 8% |
| Environmental Science | 1 | 4% |
| Neuroscience | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 13 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 17 November 2022.
All research outputs
#7,212,436
of 25,392,582 outputs
Outputs from Nature and science of sleep
#259
of 629 outputs
Outputs of similar age
#130,881
of 440,740 outputs
Outputs of similar age from Nature and science of sleep
#10
of 26 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 71st 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 58% 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 440,740 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 70% of its contemporaries.
We're also able to compare this research output to 26 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 61% of its contemporaries.