↓ Skip to main content

A new Markov–Dubins hybrid solver with learned decision trees

Overview of attention for article published in Engineering Applications of Artificial Intelligence, June 2023
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
15 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
A new Markov–Dubins hybrid solver with learned decision trees
Published in
Engineering Applications of Artificial Intelligence, June 2023
DOI 10.1016/j.engappai.2023.106166
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Professor 1 7%
Student > Ph. D. Student 1 7%
Lecturer 1 7%
Unknown 12 80%
Readers by discipline
Readers by discipline Count As %
Engineering 3 20%
Unknown 12 80%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 March 2023.
All research outputs
#17,306,461
of 27,791,073 outputs
Outputs from Engineering Applications of Artificial Intelligence
#468
of 920 outputs
Outputs of similar age
#192,315
of 404,086 outputs
Outputs of similar age from Engineering Applications of Artificial Intelligence
#8
of 25 outputs
Altmetric has tracked 27,791,073 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 920 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 47th percentile – i.e., 47% 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 404,086 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 50% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.