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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, May 2022
|
| DOI | 10.3389/fninf.2022.877139 |
| Pubmed ID | |
| Authors |
Zoltan Galaz, Peter Drotar, Jiri Mekyska, Matej Gazda, Jan Mucha, Vojtech Zvoncak, Zdenek Smekal, Marcos Faundez-Zanuy, Reinel Castrillon, Juan Rafael Orozco-Arroyave, Steven Rapcsak, Tamas Kincses, Lubos Brabenec, Irena Rektorova |
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 % |
|---|---|---|
| Czechia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 2 | 8% |
| Researcher | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Other | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 15 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 24% |
| Social Sciences | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Neuroscience | 1 | 4% |
| Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 15 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 07 June 2022.
All research outputs
#14,556,454
of 23,312,088 outputs
Outputs from Frontiers in Neuroinformatics
#493
of 764 outputs
Outputs of similar age
#211,444
of 441,990 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#18
of 34 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 764 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 31st percentile – i.e., 31% 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 441,990 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.