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Joint game-theoretical optimization for load aggregators in demand response market considering the breach of residential consumers

Overview of attention for article published in Frontiers in Energy Research, February 2023
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Title
Joint game-theoretical optimization for load aggregators in demand response market considering the breach of residential consumers
Published in
Frontiers in Energy Research, February 2023
DOI 10.3389/fenrg.2023.1071886
Authors

Chen Yang, Wen Mo, Xiaofeng Liu, Xiaofeng Dong, Qing Wang

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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 13 March 2023.
All research outputs
#20,897,310
of 23,524,722 outputs
Outputs from Frontiers in Energy Research
#1,358
of 3,579 outputs
Outputs of similar age
#333,581
of 423,491 outputs
Outputs of similar age from Frontiers in Energy Research
#63
of 403 outputs
Altmetric has tracked 23,524,722 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 3,579 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 423,491 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 403 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.