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A new method for estimating multi-source water supply considering joint probability distributions under uncertainty

Overview of attention for article published in Frontiers in Earth Science, January 2023
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Title
A new method for estimating multi-source water supply considering joint probability distributions under uncertainty
Published in
Frontiers in Earth Science, January 2023
DOI 10.3389/feart.2022.929613
Authors

Chenxi Wei, Xuan Wang, Jiajia Fang, Zhijing Wang, Chunhui Li, Qiang Liu, Jingzhi Yu

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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 03 February 2023.
All research outputs
#20,680,602
of 23,275,636 outputs
Outputs from Frontiers in Earth Science
#3,161
of 4,844 outputs
Outputs of similar age
#327,014
of 417,335 outputs
Outputs of similar age from Frontiers in Earth Science
#197
of 419 outputs
Altmetric has tracked 23,275,636 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 4,844 research outputs from this source. They receive a mean Attention Score of 4.8. 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 417,335 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 419 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.