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Editorial: Distributed learning, optimization, and control methods for future power grids

Overview of attention for article published in Frontiers in Energy Research, December 2023
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  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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Title
Editorial: Distributed learning, optimization, and control methods for future power grids
Published in
Frontiers in Energy Research, December 2023
DOI 10.3389/fenrg.2023.1337268
Authors

Zhi-Wei Liu, Xiao-Kang Liu, Jun Yan, Chao Deng

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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 06 December 2023.
All research outputs
#21,230,022
of 26,067,272 outputs
Outputs from Frontiers in Energy Research
#939
of 4,739 outputs
Outputs of similar age
#264,745
of 375,270 outputs
Outputs of similar age from Frontiers in Energy Research
#18
of 325 outputs
Altmetric has tracked 26,067,272 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 4,739 research outputs from this source. They receive a mean Attention Score of 1.6. This one has gotten more attention than average, scoring higher than 66% of its peers.
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 375,270 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 325 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.