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Foundations of Software Science and Computation Structures

Overview of attention for book
Cover of 'Foundations of Software Science and Computation Structures'

Table of Contents

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    Book Overview
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    Chapter 1 Foundations of Software Science and Computation Structures
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    Chapter 2 Guarded Dependent Type Theory with Coinductive Types
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    Chapter 3 Dependent Types and Fibred Computational Effects
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    Chapter 4 Game Semantics for Bounded Polymorphism
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    Chapter 5 Join Inverse Categories as Models of Reversible Recursion
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    Chapter 6 A Coalgebraic View of Bar Recursion and Bar Induction
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    Chapter 7 A New Foundation for Finitary Corecursion
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    Chapter 8 Fixed-Point Elimination in the Intuitionistic Propositional Calculus
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    Chapter 9 A Theory of Monitors
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    Chapter 10 Contextual Approximation and Higher-Order Procedures
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    Chapter 11 A Theory of Slicing for Probabilistic Control Flow Graphs
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    Chapter 12 Verification of Parameterized Communicating Automata via Split-Width
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    Chapter 13 Robust Equilibria in Mean-Payoff Games
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    Chapter 14 Quantifier Alternation for Infinite Words
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    Chapter 15 Synchronizing Automata over Nested Words
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    Chapter 16 On Freeze LTL with Ordered Attributes
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    Chapter 17 Regular Transformations of Data Words Through Origin Information
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    Chapter 18 Trace Refinement in Labelled Markov Decision Processes
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    Chapter 19 Qualitative Analysis of VASS-Induced MDPs
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    Chapter 20 Metric Temporal Logic with Counting
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    Chapter 21 Distributed Synthesis in Continuous Time
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    Chapter 22 Unary Resolution: Characterizing Ptime
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    Chapter 23 Focused and Synthetic Nested Sequents
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    Chapter 24 Strong Normalizability as a Finiteness Structure via the Taylor Expansion of $$\lambda $$ λ -terms
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    Chapter 25 Reasoning About Call-by-need by Means of Types
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    Chapter 26 Coverability Trees for Petri Nets with Unordered Data
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    Chapter 27 Shortest Paths in One-Counter Systems
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    Chapter 28 The Invariance Problem for Matrix Semigroups
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    Chapter 29 Order-Sorted Rewriting and Congruence Closure
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    Chapter 30 Towards a Formal Theory of Graded Monads
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    Chapter 31 Profinite Monads, Profinite Equations, and Reiterman’s Theorem
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
wikipedia
2 Wikipedia pages

Readers on

mendeley
50 Mendeley
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Title
Foundations of Software Science and Computation Structures
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-662-49630-5
ISBNs
978-3-66-249629-9, 978-3-66-249630-5
Editors

Bart Jacobs, Christof Löding

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 2%
Student > Master 1 2%
Unknown 48 96%
Readers by discipline Count As %
Computer Science 2 4%
Unknown 48 96%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 27 August 2020.
All research outputs
#2,348,735
of 22,940,083 outputs
Outputs from Lecture notes in computer science
#481
of 8,129 outputs
Outputs of similar age
#42,557
of 394,075 outputs
Outputs of similar age from Lecture notes in computer science
#97
of 582 outputs
Altmetric has tracked 22,940,083 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 94% 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 394,075 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 582 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.