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Adaptive ADMM-based entire-process distributed restoration of transmission and distribution systems

Overview of attention for article published in Frontiers in Energy Research, November 2023
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Title
Adaptive ADMM-based entire-process distributed restoration of transmission and distribution systems
Published in
Frontiers in Energy Research, November 2023
DOI 10.3389/fenrg.2023.1304945
Authors

Qingsheng Li, Changming Chen, Yongqing Zhu, Yunchu Wang, Chang Liu, Hongle Liang, Zhen Li, Zhaofeng Zhang, Li Yang

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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 17 November 2023.
All research outputs
#22,250,532
of 24,831,063 outputs
Outputs from Frontiers in Energy Research
#1,483
of 4,237 outputs
Outputs of similar age
#147,646
of 184,428 outputs
Outputs of similar age from Frontiers in Energy Research
#50
of 140 outputs
Altmetric has tracked 24,831,063 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 4,237 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 184,428 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 140 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.