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Fields of Logic and Computation II

Overview of attention for book
Cover of 'Fields of Logic and Computation II'

Table of Contents

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    Book Overview
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    Chapter 1 $$\textit{K}$$ -trivial, $$\textit{K}$$ -low and $${{\mathrm{\textit{MLR}}}}$$ -low Sequences: A Tutorial
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    Chapter 2 Horn Clause Solvers for Program Verification
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    Chapter 3 Existential Fixed-Point Logic as a Fragment of Second-Order Logic
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    Chapter 4 On the Unpredictability of Individual Quantum Measurement Outcomes
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    Chapter 5 The Ehrenfeucht-Fraïssé Method and the Planted Clique Conjecture
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    Chapter 6 Monadic Theory of a Linear Order Versus the Theory of its Subsets with the Lifted Min/Max Operations
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    Chapter 7 Regularity Equals Monadic Second-Order Definability for Quasi-trees
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    Chapter 8 Capturing MSO with One Quantifier
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    Chapter 9 Logics for Weighted Timed Pushdown Automata
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    Chapter 10 Inherent Vacuity in Lattice Automata
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    Chapter 11 Is Polynomial Time Choiceless?
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    Chapter 12 Arithmetical Congruence Preservation: From Finite to Infinite
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    Chapter 13 An Extension of the Ehrenfeucht-Fraïssé Game for First Order Logics Augmented with Lindström Quantifiers
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    Chapter 14 Logics of Finite Hankel Rank
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    Chapter 15 The Strategy of Campaigning
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    Chapter 16 On Almost Future Temporal Logics
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    Chapter 17 Minsky Machines and Algorithmic Problems
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    Chapter 18 On Failure of 0-1 Laws
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    Chapter 19 Composition Over the Natural Number Ordering with an Extra Binary Relation
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    Chapter 20 The Fundamental Nature of the Log Loss Function
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    Chapter 21 Erratum to: The Fundamental Nature of the Log Loss Function
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
3 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Fields of Logic and Computation II
Published by
Lecture notes in computer science, September 2015
DOI 10.1007/978-3-319-23534-9
ISBNs
978-3-31-923533-2, 978-3-31-923534-9
Authors

Abbott, Alastair A., Calude, Cristian S., Svozil, Karl

Editors

Lev D. Beklemishev, Andreas Blass, Nachum Dershowitz, Bernd Finkbeiner, Wolfram Schulte

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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 38%
Professor 4 31%
Student > Master 1 8%
Researcher 1 8%
Professor > Associate Professor 1 8%
Other 0 0%
Unknown 1 8%
Readers by discipline Count As %
Computer Science 8 62%
Engineering 2 15%
Agricultural and Biological Sciences 1 8%
Physics and Astronomy 1 8%
Mathematics 1 8%
Other 0 0%
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 25 December 2023.
All research outputs
#7,629,858
of 26,017,215 outputs
Outputs from Lecture notes in computer science
#2,208
of 8,229 outputs
Outputs of similar age
#82,558
of 281,552 outputs
Outputs of similar age from Lecture notes in computer science
#34
of 176 outputs
Altmetric has tracked 26,017,215 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 8,229 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 72% 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 281,552 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 69% of its contemporaries.
We're also able to compare this research output to 176 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.