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A cloud-edge cooperative scheduling model and its optimization method for regional multi-energy systems

Overview of attention for article published in Frontiers in Energy Research, March 2024
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Title
A cloud-edge cooperative scheduling model and its optimization method for regional multi-energy systems
Published in
Frontiers in Energy Research, March 2024
DOI 10.3389/fenrg.2024.1372612
Authors

Shuo Liu, Yun Teng, SongQing Cheng, NingWei Xu, Peng Sun, Kun Zhang, Zhe Chen

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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 30 March 2024.
All research outputs
#21,351,685
of 26,208,484 outputs
Outputs from Frontiers in Energy Research
#970
of 4,793 outputs
Outputs of similar age
#238,616
of 345,789 outputs
Outputs of similar age from Frontiers in Energy Research
#19
of 162 outputs
Altmetric has tracked 26,208,484 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 4,793 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 61% 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 345,789 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 162 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.