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Attentive multi-scale aggregation based action recognition and its application in power substation operation training

Overview of attention for article published in Frontiers in Energy Research, November 2023
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Mentioned by

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1 X user

Readers on

mendeley
5 Mendeley
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Title
Attentive multi-scale aggregation based action recognition and its application in power substation operation training
Published in
Frontiers in Energy Research, November 2023
DOI 10.3389/fenrg.2023.1321384
Authors

Yi Wu, Gang Ren, Bing Jiang, Wei Dai, Ning Ji, Xi Chen

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 20%
Lecturer > Senior Lecturer 1 20%
Unknown 3 60%
Readers by discipline Count As %
Unspecified 1 20%
Environmental Science 1 20%
Unknown 3 60%
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 November 2023.
All research outputs
#22,314,112
of 24,904,819 outputs
Outputs from Frontiers in Energy Research
#1,448
of 4,290 outputs
Outputs of similar age
#135,909
of 171,618 outputs
Outputs of similar age from Frontiers in Energy Research
#13
of 159 outputs
Altmetric has tracked 24,904,819 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 4,290 research outputs from this source. They receive a mean Attention Score of 1.6. 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 171,618 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 159 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.