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Machine Learning and Knowledge Discovery in Databases: Research Track

Overview of attention for book
Machine Learning and Knowledge Discovery in Databases: Research Track
Springer Nature Switzerland
Attention for Chapter 33: Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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Chapter title
Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning
Chapter number 33
Book title
Machine Learning and Knowledge Discovery in Databases: Research Track
Published in
arXiv, September 2023
DOI 10.1007/978-3-031-43421-1_33
Book ISBNs
978-3-03-143420-4, 978-3-03-143421-1
Authors

Jiang, Zhaohui, Weng, Paul, Zhaohui Jiang, Paul Weng

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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 07 February 2024.
All research outputs
#20,613,694
of 25,328,635 outputs
Outputs from arXiv
#576,055
of 1,034,497 outputs
Outputs of similar age
#244,690
of 344,986 outputs
Outputs of similar age from arXiv
#11,875
of 35,561 outputs
Altmetric has tracked 25,328,635 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 1,034,497 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 27th percentile – i.e., 27% 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 344,986 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35,561 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 51% of its contemporaries.