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Facial Expression Recognition in the Encrypted Domain Based on Local Fisher Discriminant Analysis

Overview of attention for article published in IEEE Transactions on Affective Computing, April 2013
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Readers on

mendeley
96 Mendeley
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Article details
Title
Facial Expression Recognition in the Encrypted Domain Based on Local Fisher Discriminant Analysis
Published in
IEEE Transactions on Affective Computing, April 2013
DOI 10.1109/t-affc.2012.33
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 96 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 %
Brazil 2 2%
United States 1 1%
Poland 1 1%
Netherlands 1 1%
Unknown 91 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 33 34%
Student > Master 18 19%
Researcher 7 7%
Student > Postgraduate 7 7%
Student > Doctoral Student 4 4%
Other 16 17%
Unknown 11 11%
Readers by discipline
Readers by discipline Count As %
Computer Science 48 50%
Engineering 21 22%
Psychology 5 5%
Arts and Humanities 2 2%
Biochemistry, Genetics and Molecular Biology 1 1%
Other 4 4%
Unknown 15 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 September 2020.
All research outputs
#10,463,865
of 31,684,203 outputs
Outputs from IEEE Transactions on Affective Computing
#170
of 452 outputs
Outputs of similar age
#79,624
of 235,115 outputs
Outputs of similar age from IEEE Transactions on Affective Computing
#2
of 8 outputs
Altmetric has tracked 31,684,203 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 452 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has gotten more attention than average, scoring higher than 60% 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 235,115 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 64% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.