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U-SPDNet: An SPD manifold learning-based neural network for visual classification

Overview of attention for article published in Neural Networks, December 2022
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Mentioned by

twitter
1 X user

Readers on

mendeley
13 Mendeley
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Article details
Title
U-SPDNet: An SPD manifold learning-based neural network for visual classification
Published in
Neural Networks, December 2022
DOI 10.1016/j.neunet.2022.11.030
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 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 13 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 13 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 2 15%
Researcher 2 15%
Student > Master 2 15%
Unknown 7 54%
Readers by discipline
Readers by discipline Count As %
Computer Science 5 38%
Social Sciences 1 8%
Engineering 1 8%
Unknown 6 46%
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 14 February 2023.
All research outputs
#17,301,727
of 25,392,582 outputs
Outputs from Neural Networks
#1,071
of 1,792 outputs
Outputs of similar age
#273,433
of 480,106 outputs
Outputs of similar age from Neural Networks
#9
of 30 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,792 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 31st percentile – i.e., 31% 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 480,106 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.