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Feature Extraction and Selection for Emotion Recognition from EEG

Overview of attention for article published in IEEE Transactions on Affective Computing, October 2014
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  • Average Attention Score compared to outputs of the same age

Mentioned by

patent
2 patents

Readers on

mendeley
662 Mendeley
citeulike
1 CiteULike
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Article details
Title
Feature Extraction and Selection for Emotion Recognition from EEG
Published in
IEEE Transactions on Affective Computing, October 2014
DOI 10.1109/taffc.2014.2339834
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 662 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Sweden 1 <1%
Portugal 1 <1%
Poland 1 <1%
Netherlands 1 <1%
Malaysia 1 <1%
Mexico 1 <1%
Switzerland 1 <1%
Brazil 1 <1%
Other 0 0%
Unknown 653 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 112 17%
Student > Master 107 16%
Student > Bachelor 57 9%
Researcher 46 7%
Student > Doctoral Student 29 4%
Other 98 15%
Unknown 213 32%
Readers by discipline
Readers by discipline Count As %
Computer Science 169 26%
Engineering 162 24%
Neuroscience 31 5%
Psychology 20 3%
Agricultural and Biological Sciences 6 <1%
Other 37 6%
Unknown 237 36%
Attention Score in Context

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 17 November 2020.
All research outputs
#10,387,574
of 30,202,275 outputs
Outputs from IEEE Transactions on Affective Computing
#152
of 402 outputs
Outputs of similar age
#99,301
of 282,819 outputs
Outputs of similar age from IEEE Transactions on Affective Computing
#5
of 9 outputs
Altmetric has tracked 30,202,275 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 402 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 41st percentile – i.e., 41% 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 282,819 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.