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Bounded Rationality, Abstraction, and Hierarchical Decision-Making: An Information-Theoretic Optimality Principle

Overview of attention for article published in Frontiers in Robotics and AI, November 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
7 X users

Readers on

mendeley
110 Mendeley
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Title
Bounded Rationality, Abstraction, and Hierarchical Decision-Making: An Information-Theoretic Optimality Principle
Published in
Frontiers in Robotics and AI, November 2015
DOI 10.3389/frobt.2015.00027
Authors

Tim Genewein, Felix Leibfried, Jordi Grau-Moya, Daniel Alexander Braun

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
United States 1 <1%
Denmark 1 <1%
Unknown 107 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 33%
Researcher 18 16%
Student > Master 15 14%
Student > Bachelor 8 7%
Professor 4 4%
Other 10 9%
Unknown 19 17%
Readers by discipline Count As %
Computer Science 28 25%
Neuroscience 12 11%
Engineering 10 9%
Psychology 8 7%
Business, Management and Accounting 7 6%
Other 25 23%
Unknown 20 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 12 February 2020.
All research outputs
#6,742,839
of 22,832,057 outputs
Outputs from Frontiers in Robotics and AI
#442
of 1,496 outputs
Outputs of similar age
#84,010
of 282,576 outputs
Outputs of similar age from Frontiers in Robotics and AI
#5
of 14 outputs
Altmetric has tracked 22,832,057 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,496 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has gotten more attention than average, scoring higher than 70% 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 282,576 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 70% of its contemporaries.
We're also able to compare this research output to 14 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 64% of its contemporaries.