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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using AI to measure Parkinson’s disease severity at home
|
|---|---|
| Published in |
npj Digital Medicine, August 2023
|
| DOI | 10.1038/s41746-023-00905-9 |
| Pubmed ID | |
| Authors |
Md Saiful Islam, Wasifur Rahman, Abdelrahman Abdelkader, Sangwu Lee, Phillip T. Yang, Jennifer Lynn Purks, Jamie Lynn Adams, Ruth B. Schneider, Earl Ray Dorsey, Ehsan Hoque |
X Demographics
The data shown below were collected from the profiles of 40 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 | 11 | 28% |
| France | 2 | 5% |
| Paraguay | 1 | 3% |
| Canada | 1 | 3% |
| Belize | 1 | 3% |
| Saudi Arabia | 1 | 3% |
| United Kingdom | 1 | 3% |
| Australia | 1 | 3% |
| Unknown | 21 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 68% |
| Scientists | 6 | 15% |
| Practitioners (doctors, other healthcare professionals) | 4 | 10% |
| Science communicators (journalists, bloggers, editors) | 3 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 15% |
| Student > Ph. D. Student | 1 | 3% |
| Other | 1 | 3% |
| Student > Master | 1 | 3% |
| Student > Postgraduate | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 24 | 73% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 2 | 6% |
| Agricultural and Biological Sciences | 1 | 3% |
| Computer Science | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Social Sciences | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 25 | 76% |
Attention Score in Context
This research output has an Altmetric Attention Score of 273. 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 24 April 2024.
All research outputs
#134,725
of 25,850,376 outputs
Outputs from npj Digital Medicine
#40
of 1,046 outputs
Outputs of similar age
#2,577
of 359,576 outputs
Outputs of similar age from npj Digital Medicine
#2
of 62 outputs
Altmetric has tracked 25,850,376 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 1,046 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.4. This one has done particularly well, scoring higher than 96% 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 359,576 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 62 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 96% of its contemporaries.