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Multi-objective optimization of tribological properties of camshaft bearing pairs using DNN coupled with NSGA-II algorithm and TOPSIS

Overview of attention for article published in Industrial Lubrication & Tribology, June 2024
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About this Attention Score

  • Among the highest-scoring outputs from this source (#50 of 505)
  • Average Attention Score compared to outputs of the same age

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Title
Multi-objective optimization of tribological properties of camshaft bearing pairs using DNN coupled with NSGA-II algorithm and TOPSIS
Published in
Industrial Lubrication & Tribology, June 2024
DOI 10.1108/ilt-12-2023-0417
Authors

Jingjing Zhao, Yuan Li, Liang Xie, Jinxiang Liu

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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 16 May 2024.
All research outputs
#17,920,957
of 26,237,895 outputs
Outputs from Industrial Lubrication & Tribology
#50
of 505 outputs
Outputs of similar age
#95,809
of 193,428 outputs
Outputs of similar age from Industrial Lubrication & Tribology
#1
of 27 outputs
Altmetric has tracked 26,237,895 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 505 research outputs from this source. They receive a mean Attention Score of 1.2. 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 193,428 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 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.