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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Review on Emotion Recognition Based on Electroencephalography
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, October 2021
|
| DOI | 10.3389/fncom.2021.758212 |
| Pubmed ID | |
| Authors |
Haoran Liu, Ying Zhang, Yujun Li, Xiangyi Kong |
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 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 129 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 12% |
| Student > Ph. D. Student | 10 | 8% |
| Researcher | 9 | 7% |
| Student > Bachelor | 7 | 5% |
| Lecturer | 6 | 5% |
| Other | 15 | 12% |
| Unknown | 66 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 21 | 16% |
| Computer Science | 17 | 13% |
| Neuroscience | 8 | 6% |
| Unspecified | 4 | 3% |
| Psychology | 2 | 2% |
| Other | 9 | 7% |
| Unknown | 68 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 03 October 2023.
All research outputs
#7,068,056
of 24,580,204 outputs
Outputs from Frontiers in Computational Neuroscience
#350
of 1,421 outputs
Outputs of similar age
#136,100
of 425,711 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#6
of 29 outputs
Altmetric has tracked 24,580,204 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,421 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 74% 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 425,711 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 67% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.