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Mendeley readers
Attention Score in Context
Title |
Improvement of classification accuracy in a phase-tagged steady-state visual evoked potential-based brain computer interface using multiclass support vector machine
|
---|---|
Published in |
BioMedical Engineering OnLine, May 2013
|
DOI | 10.1186/1475-925x-12-46 |
Pubmed ID | |
Authors |
Chia-Lung Yeh, Po-Lei Lee, Wei-Ming Chen, Chun-Yen Chang, Yu-Te Wu, Gong-Yau Lan |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 2% |
Poland | 1 | 2% |
Denmark | 1 | 2% |
Italy | 1 | 2% |
Unknown | 58 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 11 | 18% |
Student > Bachelor | 11 | 18% |
Student > Ph. D. Student | 10 | 16% |
Researcher | 9 | 15% |
Student > Doctoral Student | 3 | 5% |
Other | 6 | 10% |
Unknown | 12 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 18 | 29% |
Medicine and Dentistry | 8 | 13% |
Neuroscience | 7 | 11% |
Computer Science | 5 | 8% |
Psychology | 5 | 8% |
Other | 5 | 8% |
Unknown | 14 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 18 March 2022.
All research outputs
#4,306,235
of 23,371,053 outputs
Outputs from BioMedical Engineering OnLine
#100
of 832 outputs
Outputs of similar age
#36,479
of 196,927 outputs
Outputs of similar age from BioMedical Engineering OnLine
#1
of 14 outputs
Altmetric has tracked 23,371,053 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 832 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 85% 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 196,927 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.