The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning Classifiers to Evaluate Data From Gait Analysis With Depth Cameras in Patients With Parkinson’s Disease
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, May 2022
|
| DOI | 10.3389/fnhum.2022.826376 |
| Pubmed ID | |
| Authors |
Beatriz Muñoz-Ospina, Daniela Alvarez-Garcia, Hugo Juan Camilo Clavijo-Moran, Jaime Andrés Valderrama-Chaparro, Melisa García-Peña, Carlos Alfonso Herrán, Christian Camilo Urcuqui, Andrés Navarro-Cadavid, Jorge Orozco |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 14% |
| Student > Bachelor | 4 | 9% |
| Student > Ph. D. Student | 3 | 7% |
| Student > Doctoral Student | 2 | 5% |
| Other | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 27 | 61% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 9% |
| Psychology | 3 | 7% |
| Computer Science | 2 | 5% |
| Sports and Recreations | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 28 | 64% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 28 November 2022.
All research outputs
#7,116,743
of 24,891,087 outputs
Outputs from Frontiers in Human Neuroscience
#2,848
of 7,576 outputs
Outputs of similar age
#134,015
of 433,490 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#47
of 186 outputs
Altmetric has tracked 24,891,087 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 7,576 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. 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 433,490 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 68% of its contemporaries.
We're also able to compare this research output to 186 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.