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Estimating spatio-temporal fields through reinforcement learning

Overview of attention for article published in Frontiers in Robotics and AI, September 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

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3 X users

Readers on

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2 Mendeley
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Title
Estimating spatio-temporal fields through reinforcement learning
Published in
Frontiers in Robotics and AI, September 2022
DOI 10.3389/frobt.2022.878246
Pubmed ID
Authors

Paulo Padrao, Jose Fuentes, Leonardo Bobadilla, Ryan N. Smith

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 50%
Researcher 1 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 50%
Materials Science 1 50%
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 05 September 2022.
All research outputs
#15,129,787
of 23,269,984 outputs
Outputs from Frontiers in Robotics and AI
#918
of 1,535 outputs
Outputs of similar age
#219,664
of 435,186 outputs
Outputs of similar age from Frontiers in Robotics and AI
#33
of 99 outputs
Altmetric has tracked 23,269,984 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,535 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one is in the 31st percentile – i.e., 31% 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 435,186 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 99 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 59% of its contemporaries.