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Multiscale spatial temporal attention graph convolution network for skeleton-based anomaly behavior detection

Overview of attention for article published in Journal of Visual Communication & Image Representation, February 2023
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1 X user

Citations

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Title
Multiscale spatial temporal attention graph convolution network for skeleton-based anomaly behavior detection
Published in
Journal of Visual Communication & Image Representation, February 2023
DOI 10.1016/j.jvcir.2022.103707
Authors

Xiaoyu Chen, Shichao Kan, Fanghui Zhang, Yigang Cen, Linna Zhang, Damin Zhang

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 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 24 November 2022.
All research outputs
#21,077,590
of 25,887,951 outputs
Outputs from Journal of Visual Communication & Image Representation
#501
of 675 outputs
Outputs of similar age
#354,943
of 478,352 outputs
Outputs of similar age from Journal of Visual Communication & Image Representation
#3
of 4 outputs
Altmetric has tracked 25,887,951 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 675 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 22nd percentile – i.e., 22% 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 478,352 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.