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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BCIAUT-P300: A Multi-Session and Multi-Subject Benchmark Dataset on Autism for P300-Based Brain-Computer-Interfaces
|
|---|---|
| Published in |
Frontiers in Neuroscience, September 2020
|
| DOI | 10.3389/fnins.2020.568104 |
| Pubmed ID | |
| Authors |
Marco Simões, Davide Borra, Eduardo Santamaría-Vázquez, GBT-UPM, Mayra Bittencourt-Villalpando, Dominik Krzemiński, Aleksandar Miladinović, Neural_Engineering_Group, Thomas Schmid, Haifeng Zhao, Carlos Amaral, Bruno Direito, Jorge Henriques, Paulo Carvalho, Miguel Castelo-Branco |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 20% |
| Switzerland | 1 | 10% |
| Portugal | 1 | 10% |
| Unknown | 6 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 90% |
| Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 19% |
| Student > Master | 8 | 12% |
| Student > Ph. D. Student | 6 | 9% |
| Student > Bachelor | 5 | 7% |
| Lecturer | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 28 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 16% |
| Engineering | 11 | 16% |
| Neuroscience | 4 | 6% |
| Medicine and Dentistry | 3 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 33 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 11 December 2020.
All research outputs
#2,264,382
of 25,387,668 outputs
Outputs from Frontiers in Neuroscience
#1,338
of 11,543 outputs
Outputs of similar age
#60,015
of 429,390 outputs
Outputs of similar age from Frontiers in Neuroscience
#100
of 346 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 88% 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 429,390 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 346 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.