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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
A Multimodal Approach for Parkinson Disease Analysis
|
|---|---|
| Chapter number | 30 |
| Book title |
Advances in Neural Networks: Computational and Theoretical Issues
|
| Published in |
arXiv, January 2015
|
| DOI | 10.1007/978-3-319-18164-6_30 |
| Book ISBNs |
978-3-31-918163-9, 978-3-31-918164-6
|
| Authors |
Marcos Faundez-Zanuy, Antonio Satue-Villar, Jiri Mekyska, Viridiana Arreola, Pilar Sanz, Carles Paul, Luis Guirao, Mateu Serra, Laia Rofes, Pere Clavé, Enric Sesa-Nogueras, Josep Roure |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 21% |
| Professor | 3 | 16% |
| Researcher | 2 | 11% |
| Lecturer | 1 | 5% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 6 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 11% |
| Engineering | 2 | 11% |
| Medicine and Dentistry | 2 | 11% |
| Linguistics | 1 | 5% |
| Psychology | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 9 | 47% |
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 30 March 2022.
All research outputs
#20,840,438
of 23,452,723 outputs
Outputs from arXiv
#690,259
of 968,599 outputs
Outputs of similar age
#299,442
of 356,317 outputs
Outputs of similar age from arXiv
#6,633
of 11,049 outputs
Altmetric has tracked 23,452,723 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 968,599 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% 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 356,317 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11,049 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.