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A safety check method to maximize the effective reserve by optimizing the power of the tie-line in the power market

Overview of attention for article published in Frontiers in Energy Research, April 2023
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Title
A safety check method to maximize the effective reserve by optimizing the power of the tie-line in the power market
Published in
Frontiers in Energy Research, April 2023
DOI 10.3389/fenrg.2023.1162122
Authors

Yang Wu, Xingxing Wanyan, Xiangyang Su, Wentao Zou, Xinchun Zhu, Shuangquan Liu, Qizhuan Shao

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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 04 May 2023.
All research outputs
#21,034,094
of 23,674,309 outputs
Outputs from Frontiers in Energy Research
#1,372
of 3,663 outputs
Outputs of similar age
#209,591
of 267,743 outputs
Outputs of similar age from Frontiers in Energy Research
#19
of 119 outputs
Altmetric has tracked 23,674,309 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 3,663 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 267,743 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 119 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.