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The traceability of sudden water pollution in river canals based on the pollutant diffusion quantification formula

Overview of attention for article published in Frontiers in Environmental Science, July 2023
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Title
The traceability of sudden water pollution in river canals based on the pollutant diffusion quantification formula
Published in
Frontiers in Environmental Science, July 2023
DOI 10.3389/fenvs.2023.1134233
Authors

Fei Lin, Honglei Ren, Yuezan Tao, Naifeng Zhang, Yucheng Li, Rujing Wang, Yimin Hu

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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 07 July 2023.
All research outputs
#21,531,628
of 24,036,420 outputs
Outputs from Frontiers in Environmental Science
#2,170
of 4,075 outputs
Outputs of similar age
#147,567
of 178,595 outputs
Outputs of similar age from Frontiers in Environmental Science
#47
of 138 outputs
Altmetric has tracked 24,036,420 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 4,075 research outputs from this source. They receive a mean Attention Score of 4.4. 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 178,595 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 138 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.