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Advancements in Machine Learning for Optimal Performance in Flotation Processes: A Review

Overview of attention for article published in Minerals, March 2024
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Title
Advancements in Machine Learning for Optimal Performance in Flotation Processes: A Review
Published in
Minerals, March 2024
DOI 10.3390/min14040331
Authors

Alicja Szmigiel, Derek B. Apel, Krzysztof Skrzypkowski, Lukasz Wojtecki, Yuanyuan Pu

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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 25 March 2024.
All research outputs
#20,089,475
of 25,556,408 outputs
Outputs from Minerals
#1,092
of 1,970 outputs
Outputs of similar age
#96,620
of 154,994 outputs
Outputs of similar age from Minerals
#7
of 13 outputs
Altmetric has tracked 25,556,408 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,970 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 40th percentile – i.e., 40% 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 154,994 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.