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Quotient inductive-inductive types

Overview of attention for book
Cover of 'Quotient inductive-inductive types'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Non-angelic Concurrent Game Semantics
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    Chapter 2 A Trace Semantics for System F Parametric Polymorphism
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    Chapter 3 Categorical Combinatorics for Non Deterministic Strategies on Simple Games
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    Chapter 4 A Syntactic View of Computational Adequacy
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    Chapter 5 A New Linear Logic for Deadlock-Free Session-Typed Processes
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    Chapter 6 A Double Category Theoretic Analysis of Graded Linear Exponential Comonads
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    Chapter 7 Depending on Session-Typed Processes
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    Chapter 8 Fab ous Interoperability for ML and a Linear Language
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    Chapter 9 Automata for True Concurrency Properties
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    Chapter 10 A Theory of Encodings and Expressiveness (Extended Abstract)
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    Chapter 11 A Framework for Parameterized Monitorability
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    Chapter 12 Logics for Bisimulation and Divergence
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    Chapter 13 Call-by-Need, Neededness and All That
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    Chapter 14 Fitch-Style Modal Lambda Calculi
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    Chapter 15 Realizability Interpretation and Normalization of Typed Call-by-Need $$\lambda $$ -calculus with Control
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    Chapter 16 Quotient Inductive-Inductive Types
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    Chapter 17 Guarded Traced Categories
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    Chapter 18 Proper Semirings and Proper Convex Functors
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    Chapter 19 From Symmetric Pattern-Matching to Quantum Control
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    Chapter 20 The Complexity of Graph-Based Reductions for Reachability in Markov Decision Processes
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    Chapter 21 A Hierarchy of Scheduler Classes for Stochastic Automata
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    Chapter 22 Symbolically Quantifying Response Time in Stochastic Models Using Moments and Semirings
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    Chapter 23 Comparator Automata in Quantitative Verification
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    Chapter 24 Modular Tableaux Calculi for Separation Theories
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    Chapter 25 Differential Calculus with Imprecise Input and Its Logical Framework
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    Chapter 26 The Effects of Adding Reachability Predicates in Propositional Separation Logic
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    Chapter 27 The Equational Theory of the Natural Join and Inner Union is Decidable
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    Chapter 28 Minimization of Graph Weighted Models over Circular Strings
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    Chapter 29 Games on Graphs with a Public Signal Monitoring
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    Chapter 30 WQO Dichotomy for 3-Graphs
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    Chapter 31 Verifying Higher-Order Functions with Tree Automata
Attention for Chapter 8: Fab ous Interoperability for ML and a Linear Language
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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5 tweeters


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Chapter title
Fab ous Interoperability for ML and a Linear Language
Chapter number 8
Book title
Foundations of Software Science and Computation Structures
Published in
Lecture notes in computer science, April 2018
DOI 10.1007/978-3-319-89366-2_8
Book ISBNs
978-3-31-989365-5, 978-3-31-989366-2

Gabriel Scherer, Max New, Nick Rioux, Amal Ahmed, Scherer, Gabriel, New, Max, Rioux, Nick, Ahmed, Amal

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Student > Ph. D. Student 1 20%
Other 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 4 80%
Unknown 1 20%

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 13 March 2021.
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Altmetric has tracked 20,476,556 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 8,002 research outputs from this source. They receive a mean Attention Score of 4.8. 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 295,270 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 62% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.