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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An innovative EEG-based emotion recognition using a single channel-specific feature from the brain rhythm code method
|
|---|---|
| Published in |
Frontiers in Neuroscience, July 2023
|
| DOI | 10.3389/fnins.2023.1221512 |
| Pubmed ID | |
| Authors |
Jia Wen Li, Di Lin, Yan Che, Ju Jian Lv, Rong Jun Chen, Lei Jun Wang, Xian Xian Zeng, Jin Chang Ren, Hui Min Zhao, Xu Lu |
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 % |
|---|---|---|
| Switzerland | 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 14% |
| Professor | 1 | 14% |
| Student > Ph. D. Student | 1 | 14% |
| Professor > Associate Professor | 1 | 14% |
| Other | 1 | 14% |
| Other | 0 | 0% |
| Unknown | 2 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 29% |
| Unspecified | 1 | 14% |
| Neuroscience | 1 | 14% |
| Computer Science | 1 | 14% |
| Unknown | 2 | 29% |
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 11 August 2023.
All research outputs
#20,537,408
of 26,106,397 outputs
Outputs from Frontiers in Neuroscience
#8,829
of 11,756 outputs
Outputs of similar age
#256,385
of 369,809 outputs
Outputs of similar age from Frontiers in Neuroscience
#256
of 365 outputs
Altmetric has tracked 26,106,397 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,756 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one is in the 18th percentile – i.e., 18% 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 369,809 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 365 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.