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Switchable MPC-based multi-objective regenerative brake control via flow regulation for electric vehicles

Overview of attention for article published in Frontiers in Robotics and AI, February 2023
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Title
Switchable MPC-based multi-objective regenerative brake control via flow regulation for electric vehicles
Published in
Frontiers in Robotics and AI, February 2023
DOI 10.3389/frobt.2023.1078253
Pubmed ID
Authors

Mingming Mei, Shuo Cheng, Hongyuan Mu, Yuxuan Pei, Bo Li

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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 February 2023.
All research outputs
#18,806,562
of 23,306,612 outputs
Outputs from Frontiers in Robotics and AI
#1,329
of 1,540 outputs
Outputs of similar age
#225,481
of 336,430 outputs
Outputs of similar age from Frontiers in Robotics and AI
#28
of 52 outputs
Altmetric has tracked 23,306,612 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 1,540 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. 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 336,430 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 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.