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Short-Term Power Load Forecasting Under COVID-19 Based on Graph Representation Learning With Heterogeneous Features

Overview of attention for article published in Frontiers in Energy Research, December 2021
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Title
Short-Term Power Load Forecasting Under COVID-19 Based on Graph Representation Learning With Heterogeneous Features
Published in
Frontiers in Energy Research, December 2021
DOI 10.3389/fenrg.2021.813617
Authors

Zhuowei Yu, Jiajun Yang, Yufeng Wu, Yi Huang

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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 28 December 2021.
All research outputs
#20,246,428
of 22,774,233 outputs
Outputs from Frontiers in Energy Research
#1,276
of 3,175 outputs
Outputs of similar age
#405,807
of 496,032 outputs
Outputs of similar age from Frontiers in Energy Research
#116
of 357 outputs
Altmetric has tracked 22,774,233 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 3,175 research outputs from this source. They receive a mean Attention Score of 1.7. 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 496,032 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 357 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.