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Programming Languages and Systems

Overview of attention for book
Cover of 'Programming Languages and Systems'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Well-Typed Programs Can’t Be Blamed
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    Chapter 2 Exploring the Design Space of Higher-Order Casts
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    Chapter 3 Practical Variable-Arity Polymorphism
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    Chapter 4 Programming Languages and Systems
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    Chapter 5 Using Category Theory to Design Programming Languages
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    Chapter 6 Modular Monad Transformers
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    Chapter 7 Handlers of Algebraic Effects
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    Chapter 8 Is Structural Subtyping Useful? An Empirical Study
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    Chapter 9 An Interval-Based Inference of Variant Parametric Types
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    Chapter 10 Existential Quantification for Variant Ownership
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    Chapter 11 Formalising and Verifying Reference Attribute Grammars in Coq
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    Chapter 12 Verified, Executable Parsing
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    Chapter 13 An Efficient Algorithm for Solving the Dyck-CFL Reachability Problem on Trees
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    Chapter 14 Amortised Memory Analysis Using the Depth of Data Structures
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    Chapter 15 The Financial Crisis, a Lack of Contract Specification Tools: What Can Finance Learn from Programming Language Design?
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    Chapter 16 All Secrets Great and Small
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    Chapter 17 Type-Based Automated Verification of Authenticity in Cryptographic Protocols
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    Chapter 18 A Theory of Non-monotone Memory (Or: Contexts for free )
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    Chapter 19 Abstraction for Concurrent Objects
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    Chapter 20 Minimization Algorithm for Symbolic Bisimilarity
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    Chapter 21 Conversation Types
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    Chapter 22 Abstract Processes in Orchestration Languages
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    Chapter 23 Global Principal Typing in Partially Commutative Asynchronous Sessions
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    Chapter 24 Tisa: A Language Design and Modular Verification Technique for Temporal Policies in Web Services
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    Chapter 25 Automatic Parallelization with Separation Logic
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    Chapter 26 Deny-Guarantee Reasoning
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    Chapter 27 A Basis for Verifying Multi-threaded Programs
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    Chapter 28 SingleTrack: A Dynamic Determinism Checker for Multithreaded Programs
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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

25 tweeters


5 Dimensions

Readers on

4 Mendeley
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Programming Languages and Systems
Published by
ADS, March 2009
DOI 10.1007/978-3-642-00590-9
978-3-64-200589-3, 978-3-64-200590-9

Castagna, Giuseppe

Twitter Demographics

The data shown below were collected from the profiles of 25 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 25%
Unknown 3 75%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Student > Bachelor 1 25%
Professor > Associate Professor 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Unspecified 1 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 April 2022.
All research outputs
of 22,526,255 outputs
Outputs from ADS
of 37,227 outputs
Outputs of similar age
of 79,352 outputs
Outputs of similar age from ADS
of 371 outputs
Altmetric has tracked 22,526,255 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,227 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 97% 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 79,352 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 371 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.