| Title |
Deep Learning for Diagnosis and Classification of Obstructive Sleep Apnea: A Nasal Airflow-Based Multi-Resolution Residual Network
|
|---|---|
| Published in |
Nature and science of sleep, March 2021
|
| DOI | 10.2147/nss.s297856 |
| Pubmed ID | |
| Authors |
Huijun Yue, Yu Lin, Yitao Wu, Yongquan Wang, Yun Li, Xueqin Guo, Ying Huang, Weiping Wen, Gansen Zhao, Xiongwen Pang, Wenbin Lei |
X Demographics
The data shown below were collected from the profiles of 27 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 | 11% |
| United Kingdom | 2 | 7% |
| India | 2 | 7% |
| Belgium | 1 | 4% |
| Spain | 1 | 4% |
| Netherlands | 1 | 4% |
| Italy | 1 | 4% |
| France | 1 | 4% |
| South Africa | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 13 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 17% |
| Student > Master | 8 | 17% |
| Student > Bachelor | 3 | 6% |
| Other | 2 | 4% |
| Unspecified | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 23 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 17% |
| Computer Science | 6 | 13% |
| Medicine and Dentistry | 2 | 4% |
| Mathematics | 1 | 2% |
| Business, Management and Accounting | 1 | 2% |
| Other | 5 | 11% |
| Unknown | 24 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 23 March 2021.
All research outputs
#3,397,344
of 25,387,668 outputs
Outputs from Nature and science of sleep
#163
of 629 outputs
Outputs of similar age
#88,089
of 451,361 outputs
Outputs of similar age from Nature and science of sleep
#9
of 27 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 74% 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 451,361 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 80% of its contemporaries.
We're also able to compare this research output to 27 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 66% of its contemporaries.