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Post-Impact Motion Planning and Tracking Control for Autonomous Vehicles

Overview of attention for article published in Chinese Journal of Mechanical Engineering, May 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
12 Mendeley
Title
Post-Impact Motion Planning and Tracking Control for Autonomous Vehicles
Published in
Chinese Journal of Mechanical Engineering, May 2022
DOI 10.1186/s10033-022-00745-w
Authors

Cong Wang, Zhenpo Wang, Lei Zhang, Huilong Yu, Dongpu Cao

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 25%
Student > Ph. D. Student 1 8%
Unspecified 1 8%
Student > Postgraduate 1 8%
Student > Doctoral Student 1 8%
Other 0 0%
Unknown 5 42%
Readers by discipline Count As %
Engineering 4 33%
Computer Science 2 17%
Unspecified 1 8%
Unknown 5 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 15 September 2022.
All research outputs
#3,895,363
of 23,339,727 outputs
Outputs from Chinese Journal of Mechanical Engineering
#7
of 56 outputs
Outputs of similar age
#81,362
of 441,973 outputs
Outputs of similar age from Chinese Journal of Mechanical Engineering
#1
of 3 outputs
Altmetric has tracked 23,339,727 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 56 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 85% 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 441,973 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them