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Artificial Intelligence XXXVII

Overview of attention for book
Artificial Intelligence XXXVII
Springer International Publishing

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 7 CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning
  3. Altmetric Badge
    Chapter 8 A Novel Multi-step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning
  4. Altmetric Badge
    Chapter 20 Software Fault Localisation via Probabilistic Modelling
  5. Altmetric Badge
    Chapter 22 Ensemble-Based Relationship Discovery in Relational Databases
Attention for Chapter 7: CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
3 Mendeley
Summary X
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Chapter title
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning
Chapter number 7
Book title
Artificial Intelligence XXXVII
Published in
arXiv, December 2020
DOI 10.1007/978-3-030-63799-6_7
Book ISBNs
978-3-03-063798-9, 978-3-03-063799-6
Authors

Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo, Andersen, Per-Arne, Goodwin, Morten, Granmo, Ole-Christoffer

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Other 1 33%
Unknown 1 33%
Readers by discipline Count As %
Unknown 3 100%
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 24 July 2023.
All research outputs
#7,304,889
of 24,135,931 outputs
Outputs from arXiv
#154,381
of 1,023,033 outputs
Outputs of similar age
#175,413
of 515,051 outputs
Outputs of similar age from arXiv
#4,853
of 32,190 outputs
Altmetric has tracked 24,135,931 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,023,033 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 84% 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 515,051 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 65% of its contemporaries.
We're also able to compare this research output to 32,190 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.

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