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7 Mendeley
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Article details
Title
Riemannian kernel based Nyström method for approximate infinite-dimensional covariance descriptors with application to image set classification
Published in
arXiv, August 2018
DOI 10.1109/icpr.2018.8545822
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 7 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 7 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Researcher 2 29%
Student > Bachelor 1 14%
Student > Master 1 14%
Professor > Associate Professor 1 14%
Other 0 0%
Readers by discipline
Readers by discipline Count As %
Computer Science 5 71%
Unknown 2 29%
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 19 June 2018.
All research outputs
#22,767,715
of 25,385,509 outputs
Outputs from arXiv
#673,414
of 915,125 outputs
Outputs of similar age
#299,386
of 341,989 outputs
Outputs of similar age from arXiv
#16,652
of 18,838 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 915,125 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% 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 341,989 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18,838 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.