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Mendeley readers
Attention Score in Context
| Title |
An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, February 2022
|
| DOI | 10.3389/fninf.2021.808339 |
| Pubmed ID | |
| Authors |
Hanan Al-Hadeethi, Shahab Abdulla, Mohammed Diykh, Ravinesh C. Deo, Jonathan H. Green |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Librarian | 1 | 11% |
| Student > Ph. D. Student | 1 | 11% |
| Researcher | 1 | 11% |
| Lecturer | 1 | 11% |
| Unknown | 5 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 22% |
| Computer Science | 1 | 11% |
| Arts and Humanities | 1 | 11% |
| Unknown | 5 | 56% |
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 03 October 2023.
All research outputs
#8,204,344
of 24,580,204 outputs
Outputs from Frontiers in Neuroinformatics
#395
of 807 outputs
Outputs of similar age
#179,485
of 512,129 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#11
of 25 outputs
Altmetric has tracked 24,580,204 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 807 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 49th percentile – i.e., 49% 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 512,129 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 61% of its contemporaries.
We're also able to compare this research output to 25 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 60% of its contemporaries.