The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Efficient graph convolutional networks for seizure prediction using scalp EEG
|
|---|---|
| Published in |
Frontiers in Neuroscience, August 2022
|
| DOI | 10.3389/fnins.2022.967116 |
| Pubmed ID | |
| Authors |
Manhua Jia, Wenjian Liu, Junwei Duan, Long Chen, C. L. Philip Chen, Qun Wang, Zhiguo Zhou |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 10% |
| Student > Bachelor | 3 | 10% |
| Researcher | 2 | 7% |
| Professor > Associate Professor | 2 | 7% |
| Student > Doctoral Student | 1 | 3% |
| Other | 5 | 17% |
| Unknown | 13 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 14% |
| Computer Science | 3 | 10% |
| Unspecified | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 15 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 13 August 2022.
All research outputs
#15,483,237
of 26,439,667 outputs
Outputs from Frontiers in Neuroscience
#6,215
of 11,872 outputs
Outputs of similar age
#186,558
of 438,738 outputs
Outputs of similar age from Frontiers in Neuroscience
#185
of 477 outputs
Altmetric has tracked 26,439,667 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,872 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 47th percentile – i.e., 47% 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 438,738 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 56% of its contemporaries.
We're also able to compare this research output to 477 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 59% of its contemporaries.