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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Parkinson's Disease Detection Using Isosurfaces-Based Features and Convolutional Neural Networks
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, July 2019
|
| DOI | 10.3389/fninf.2019.00048 |
| Pubmed ID | |
| Authors |
Andrés Ortiz, Jorge Munilla, Manuel Martínez-Ibañez, Juan M. Górriz, Javier Ramírez, Diego Salas-Gonzalez |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 82 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 18% |
| Student > Ph. D. Student | 10 | 12% |
| Student > Bachelor | 10 | 12% |
| Researcher | 7 | 9% |
| Lecturer | 4 | 5% |
| Other | 10 | 12% |
| Unknown | 26 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 22% |
| Engineering | 9 | 11% |
| Medicine and Dentistry | 7 | 9% |
| Neuroscience | 5 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Other | 7 | 9% |
| Unknown | 33 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 02 July 2019.
All research outputs
#18,024,172
of 23,151,189 outputs
Outputs from Frontiers in Neuroinformatics
#602
of 759 outputs
Outputs of similar age
#243,413
of 348,187 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#15
of 21 outputs
Altmetric has tracked 23,151,189 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 759 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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 348,187 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.