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Research on the deep peak-shaving cost allocation mechanism considering the responsibility of the load side

Overview of attention for article published in Frontiers in Energy Research, June 2023
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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3 Mendeley
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Title
Research on the deep peak-shaving cost allocation mechanism considering the responsibility of the load side
Published in
Frontiers in Energy Research, June 2023
DOI 10.3389/fenrg.2023.1182620
Authors

Zhao Yang, Wang Yibo, Liu Chuang, Cai Guowei, Ge Weichun, Xu Yueyang, Xiang Ziwei

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 33%
Unknown 2 67%
Readers by discipline Count As %
Arts and Humanities 1 33%
Unknown 2 67%
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 02 June 2023.
All research outputs
#21,288,574
of 23,914,787 outputs
Outputs from Frontiers in Energy Research
#1,387
of 3,758 outputs
Outputs of similar age
#155,332
of 198,845 outputs
Outputs of similar age from Frontiers in Energy Research
#13
of 99 outputs
Altmetric has tracked 23,914,787 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 3,758 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 198,845 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 99 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.