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L1-2D2PCANet: a deep learning network for face recognition

Overview of attention for article published in Journal of Electronic Imaging, March 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Readers on

mendeley
6 Mendeley
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Article details
Title
L1-2D2PCANet: a deep learning network for face recognition
Published in
Journal of Electronic Imaging, March 2019
DOI 10.1117/1.jei.28.2.023016
Authors

Yun-Kun Li, Xiao-Jun Wu, Josef Kittler

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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 profiles of 4 X users 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 6 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 %
Unknown 6 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 1 17%
Lecturer 1 17%
Student > Master 1 17%
Unknown 3 50%
Readers by discipline
Readers by discipline Count As %
Computer Science 2 33%
Business, Management and Accounting 1 17%
Unknown 3 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 30 May 2018.
All research outputs
#20,470,836
of 29,420,386 outputs
Outputs from Journal of Electronic Imaging
#577
of 725 outputs
Outputs of similar age
#243,137
of 369,695 outputs
Outputs of similar age from Journal of Electronic Imaging
#6
of 11 outputs
Altmetric has tracked 29,420,386 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 725 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 15th percentile – i.e., 15% 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 369,695 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.