↓ Skip to main content

Discriminant Correlation Analysis: Real-Time Feature Level Fusion for Multimodal Biometric Recognition

Overview of attention for article published in IEEE Transactions on Information Forensics and Security, May 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
1 X user
patent
1 patent
wikipedia
16 Wikipedia pages

Readers on

mendeley
225 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Discriminant Correlation Analysis: Real-Time Feature Level Fusion for Multimodal Biometric Recognition
Published in
IEEE Transactions on Information Forensics and Security, May 2016
DOI 10.1109/tifs.2016.2569061
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
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 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Unknown 224 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 58 26%
Student > Master 31 14%
Researcher 19 8%
Student > Bachelor 14 6%
Other 6 3%
Other 22 10%
Unknown 75 33%
Readers by discipline
Readers by discipline Count As %
Computer Science 59 26%
Engineering 50 22%
Mathematics 6 3%
Economics, Econometrics and Finance 3 1%
Biochemistry, Genetics and Molecular Biology 2 <1%
Other 14 6%
Unknown 91 40%
Attention Score in Context

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 25 August 2026.
All research outputs
#6,454,277
of 33,510,145 outputs
Outputs from IEEE Transactions on Information Forensics and Security
#280
of 1,772 outputs
Outputs of similar age
#74,358
of 336,952 outputs
Outputs of similar age from IEEE Transactions on Information Forensics and Security
#6
of 34 outputs
Altmetric has tracked 33,510,145 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,772 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 84% 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 336,952 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 76% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.