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Deep Spiking Neural Network for Video-Based Disguise Face Recognition Based on Dynamic Facial Movements

Overview of attention for article published in IEEE Transactions on Neural Networks and Learning Systems, July 2019
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
2 X users
patent
1 patent

Readers on

mendeley
73 Mendeley
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Article details
Title
Deep Spiking Neural Network for Video-Based Disguise Face Recognition Based on Dynamic Facial Movements
Published in
IEEE Transactions on Neural Networks and Learning Systems, July 2019
DOI 10.1109/tnnls.2019.2927274
Pubmed ID
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 profiles of 2 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 73 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 73 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 5 7%
Student > Ph. D. Student 4 5%
Researcher 4 5%
Professor > Associate Professor 3 4%
Other 2 3%
Other 6 8%
Unknown 49 67%
Readers by discipline
Readers by discipline Count As %
Computer Science 12 16%
Engineering 5 7%
Neuroscience 3 4%
Business, Management and Accounting 1 1%
Agricultural and Biological Sciences 1 1%
Other 4 5%
Unknown 47 64%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 06 January 2023.
All research outputs
#6,879,916
of 25,385,509 outputs
Outputs from IEEE Transactions on Neural Networks and Learning Systems
#401
of 3,394 outputs
Outputs of similar age
#114,407
of 358,190 outputs
Outputs of similar age from IEEE Transactions on Neural Networks and Learning Systems
#5
of 34 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,394 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 88% 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 358,190 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 67% 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 85% of its contemporaries.