↓ Skip to main content

Tangle- and contact-free path planning for a tethered mobile robot using deep reinforcement learning

Overview of attention for article published in Frontiers in Robotics and AI, September 2024
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
2 X users
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.
Title
Tangle- and contact-free path planning for a tethered mobile robot using deep reinforcement learning
Published in
Frontiers in Robotics and AI, September 2024
DOI 10.3389/frobt.2024.1388634
Authors

Ryuki Shimada, Genya Ishigami

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 03 September 2024.
All research outputs
#21,633,689
of 26,552,644 outputs
Outputs from Frontiers in Robotics and AI
#1,462
of 1,840 outputs
Outputs of similar age
#83,035
of 130,888 outputs
Outputs of similar age from Frontiers in Robotics and AI
#7
of 30 outputs
Altmetric has tracked 26,552,644 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,840 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one is in the 2nd percentile – i.e., 2% 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 130,888 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 30 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 66% of its contemporaries.