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X Demographics
Mendeley readers
Attention Score in Context
Title |
Optimization of Real-Time EEG Artifact Removal and Emotion Estimation for Human-Robot Interaction Applications
|
---|---|
Published in |
Frontiers in Computational Neuroscience, November 2019
|
DOI | 10.3389/fncom.2019.00080 |
Pubmed ID | |
Authors |
Mikel Val-Calvo, José R. Álvarez-Sánchez, Jose M. Ferrández-Vicente, Eduardo Fernández |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 60 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 25% |
Student > Master | 5 | 8% |
Student > Doctoral Student | 5 | 8% |
Researcher | 3 | 5% |
Professor > Associate Professor | 2 | 3% |
Other | 11 | 18% |
Unknown | 19 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 13 | 22% |
Computer Science | 8 | 13% |
Neuroscience | 7 | 12% |
Psychology | 3 | 5% |
Medicine and Dentistry | 3 | 5% |
Other | 7 | 12% |
Unknown | 19 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 12 March 2024.
All research outputs
#6,676,246
of 26,411,386 outputs
Outputs from Frontiers in Computational Neuroscience
#279
of 1,503 outputs
Outputs of similar age
#132,588
of 485,347 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#4
of 15 outputs
Altmetric has tracked 26,411,386 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,503 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 80% 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 485,347 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 72% of its contemporaries.
We're also able to compare this research output to 15 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 73% of its contemporaries.