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Allocation and optimization of carbon emission permits considering fairness and efficiency under the dual-carbon background

Overview of attention for article published in Frontiers in Environmental Science, October 2022
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Title
Allocation and optimization of carbon emission permits considering fairness and efficiency under the dual-carbon background
Published in
Frontiers in Environmental Science, October 2022
DOI 10.3389/fenvs.2022.1036771
Authors

Yong Xiao, Leyou Wu, Pinjie Xie, Xianyou Pan

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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 14 November 2022.
All research outputs
#20,536,446
of 23,106,934 outputs
Outputs from Frontiers in Environmental Science
#2,008
of 3,405 outputs
Outputs of similar age
#349,585
of 440,167 outputs
Outputs of similar age from Frontiers in Environmental Science
#247
of 464 outputs
Altmetric has tracked 23,106,934 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 3,405 research outputs from this source. They receive a mean Attention Score of 4.7. 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 440,167 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 464 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.