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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Role of data measurement characteristics in the accurate detection of Parkinson’s disease symptoms using wearable sensors
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, April 2020
|
| DOI | 10.1186/s12984-020-00684-4 |
| Pubmed ID | |
| Authors |
Nicholas Shawen, Megan K. O’Brien, Sanjeev Venkatesan, Luca Lonini, Tanya Simuni, Jamie L. Hamilton, Roozbeh Ghaffari, John A. Rogers, Arun Jayaraman |
X Demographics
The data shown below were collected from the profiles of 3 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 | 67% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 188 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 17% |
| Researcher | 26 | 14% |
| Student > Bachelor | 17 | 9% |
| Student > Master | 14 | 7% |
| Other | 7 | 4% |
| Other | 25 | 13% |
| Unknown | 67 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 32 | 17% |
| Neuroscience | 17 | 9% |
| Computer Science | 15 | 8% |
| Medicine and Dentistry | 8 | 4% |
| Nursing and Health Professions | 5 | 3% |
| Other | 29 | 15% |
| Unknown | 82 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 22 April 2020.
All research outputs
#13,156,358
of 23,202,641 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#602
of 1,298 outputs
Outputs of similar age
#175,325
of 374,442 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#15
of 29 outputs
Altmetric has tracked 23,202,641 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,298 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 52% 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 374,442 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 52% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.