| Title |
Telemonitoring Parkinson’s disease using machine learning by combining tremor and voice analysis
|
|---|---|
| Published in |
Brain Informatics, October 2020
|
| DOI | 10.1186/s40708-020-00113-1 |
| Pubmed ID | |
| Authors |
Md. Sakibur Rahman Sajal, Md. Tanvir Ehsan, Ravi Vaidyanathan, Shouyan Wang, Tipu Aziz, Khondaker Abdullah Al Mamun |
X Demographics
The data shown below were collected from the profiles of 7 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 | 29% |
| Saudi Arabia | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 155 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 13% |
| Student > Ph. D. Student | 14 | 9% |
| Student > Bachelor | 10 | 6% |
| Student > Master | 9 | 6% |
| Other | 7 | 5% |
| Other | 28 | 18% |
| Unknown | 67 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 9% |
| Neuroscience | 14 | 9% |
| Medicine and Dentistry | 12 | 8% |
| Engineering | 12 | 8% |
| Nursing and Health Professions | 8 | 5% |
| Other | 24 | 15% |
| Unknown | 71 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 September 2021.
All research outputs
#7,113,665
of 23,253,955 outputs
Outputs from Brain Informatics
#40
of 106 outputs
Outputs of similar age
#156,017
of 419,872 outputs
Outputs of similar age from Brain Informatics
#4
of 8 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 106 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 61% 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 419,872 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 62% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.