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Attention Score in Context
| Title |
Lunar Rover Collaborated Path Planning with Artificial Potential Field-Based Heuristic on Deep Reinforcement Learning
|
|---|---|
| Published in |
Aerospace, March 2024
|
| DOI | 10.3390/aerospace11040253 |
| Authors |
Siyao Lu, Rui Xu, Zhaoyu Li, Bang Wang, Zhijun Zhao |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 March 2024.
All research outputs
#4,880,517
of 25,552,205 outputs
Outputs from Aerospace
#61
of 1,183 outputs
Outputs of similar age
#29,499
of 152,812 outputs
Outputs of similar age from Aerospace
#1
of 12 outputs
Altmetric has tracked 25,552,205 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,183 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 94% 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 152,812 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 78% of its contemporaries.
We're also able to compare this research output to 12 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 99% of its contemporaries.