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A Data-Driven Semi-Supervised Soft-Sensor Method: Application on an Industrial Cracking Furnace

Overview of attention for article published in Frontiers in Chemical Engineering, June 2022
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Title
A Data-Driven Semi-Supervised Soft-Sensor Method: Application on an Industrial Cracking Furnace
Published in
Frontiers in Chemical Engineering, June 2022
DOI 10.3389/fceng.2022.899941
Authors

Fangyuan Ma, Jingde Wang, Wei Sun

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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 13 June 2022.
All research outputs
#18,305,470
of 22,663,969 outputs
Outputs from Frontiers in Chemical Engineering
#108
of 240 outputs
Outputs of similar age
#309,723
of 437,430 outputs
Outputs of similar age from Frontiers in Chemical Engineering
#8
of 25 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 240 research outputs from this source. They receive a mean Attention Score of 1.5. 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 437,430 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 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.