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On Nonlinear Model Predictive Control for Energy-Efficient Torque-Vectoring

Overview of attention for article published in IEEE Transactions on Vehicular Technology, September 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
1 X user
patent
3 patents

Readers on

mendeley
76 Mendeley
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Article details
Title
On Nonlinear Model Predictive Control for Energy-Efficient Torque-Vectoring
Published in
IEEE Transactions on Vehicular Technology, September 2020
DOI 10.1109/tvt.2020.3022022
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 12 16%
Student > Master 4 5%
Researcher 4 5%
Other 2 3%
Student > Bachelor 2 3%
Other 7 9%
Unknown 45 59%
Readers by discipline
Readers by discipline Count As %
Engineering 25 33%
Unspecified 1 1%
Biochemistry, Genetics and Molecular Biology 1 1%
Business, Management and Accounting 1 1%
Computer Science 1 1%
Other 0 0%
Unknown 47 62%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 24 February 2026.
All research outputs
#9,062,653
of 28,346,851 outputs
Outputs from IEEE Transactions on Vehicular Technology
#722
of 3,199 outputs
Outputs of similar age
#167,253
of 430,912 outputs
Outputs of similar age from IEEE Transactions on Vehicular Technology
#4
of 41 outputs
Altmetric has tracked 28,346,851 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 3,199 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 77% of its peers.
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 430,912 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.