| Title |
Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals
|
|---|---|
| Published in |
Nature Medicine, August 2022
|
| DOI | 10.1038/s41591-022-01932-x |
| Pubmed ID | |
| Authors |
Yuzhe Yang, Yuan Yuan, Guo Zhang, Hao Wang, Ying-Cong Chen, Yingcheng Liu, Christopher G. Tarolli, Daniel Crepeau, Jan Bukartyk, Mithri R. Junna, Aleksandar Videnovic, Terry D. Ellis, Melissa C. Lipford, Ray Dorsey, Dina Katabi |
X Demographics
The data shown below were collected from the profiles of 445 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 | 95 | 21% |
| United Kingdom | 18 | 4% |
| Spain | 16 | 4% |
| India | 14 | 3% |
| Canada | 12 | 3% |
| Japan | 12 | 3% |
| France | 8 | 2% |
| Italy | 6 | 1% |
| Australia | 6 | 1% |
| Other | 60 | 13% |
| Unknown | 198 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 306 | 69% |
| Scientists | 85 | 19% |
| Practitioners (doctors, other healthcare professionals) | 36 | 8% |
| Science communicators (journalists, bloggers, editors) | 17 | 4% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 281 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 281 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 43 | 15% |
| Student > Ph. D. Student | 37 | 13% |
| Student > Master | 16 | 6% |
| Student > Bachelor | 16 | 6% |
| Other | 15 | 5% |
| Other | 40 | 14% |
| Unknown | 114 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 35 | 12% |
| Computer Science | 33 | 12% |
| Medicine and Dentistry | 23 | 8% |
| Neuroscience | 21 | 7% |
| Biochemistry, Genetics and Molecular Biology | 11 | 4% |
| Other | 37 | 13% |
| Unknown | 121 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1042. 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 30 October 2023.
All research outputs
#15,348
of 25,708,267 outputs
Outputs from Nature Medicine
#143
of 9,403 outputs
Outputs of similar age
#532
of 431,153 outputs
Outputs of similar age from Nature Medicine
#7
of 144 outputs
Altmetric has tracked 25,708,267 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,403 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 105.1. This one has done particularly well, scoring higher than 98% 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 431,153 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 144 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.