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Programming Languages and Systems

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

Table of Contents

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    Book Overview
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    Chapter 1 A CLP Approach to Modelling Systems
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    Chapter 2 An Algebraic Approach to Bi-directional Updating
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    Chapter 3 Network Fusion
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    Chapter 4 Translation of Tree-Processing Programs into Stream-Processing Programs Based on Ordered Linear Type
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    Chapter 5 An Implementation of Subtyping Among Regular Expression Types
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    Chapter 6 An Implementation Scheme for XML Transformation Languages Through Derivation of Stream Processors
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    Chapter 7 Detecting Software Defects in Telecom Applications Through Lightweight Static Analysis: A War Story
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    Chapter 8 History Effects and Verification
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    Chapter 9 Controlled Declassification Based on Intransitive Noninterference
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    Chapter 10 A Concurrent System of Multi-ported Processes with Causal Dependency
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    Chapter 11 Concurrency Combinators for Declarative Synchronization
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    Chapter 12 A Uniform Reduction Equivalence for Process Calculi
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    Chapter 13 Substructural Operational Semantics and Linear Destination-Passing Style (Invited Talk)
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    Chapter 14 PType System: A Featherweight Parallelizability Detector
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    Chapter 15 A Type Theory for Krivine-Style Evaluation and Compilation
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    Chapter 16 Region-Based Memory Management for a Dynamically-Typed Language
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    Chapter 17 Protocol Specialization
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    Chapter 18 Automatic Generation of Editors for Higher-Order Data Structures
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    Chapter 19 A MATLAB-Based Code Generator for Sparse Matrix Computations
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    Chapter 20 D-Fusion: A Distinctive Fusion Calculus
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    Chapter 21 A Functional Language for Logarithmic Space
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    Chapter 22 Build, Augment and Destroy, Universally
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    Chapter 23 Free Σ-Monoids: A Higher-Order Syntax with Metavariables
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    Chapter 24 The Scala Experiment – Can We Provide Better Language Support for Component Systems?
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    Chapter 25 Pointcuts as Functional Queries
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    Chapter 26 Formal Design and Verification of Real-Time Embedded Software
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    Chapter 27 McJava – A Design and Implementation of Java with Mixin-Types
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    Chapter 28 A Relational Model for Object-Oriented Designs
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    Chapter 29 Exploiting Java Objects Behavior for Memory Management and Optimizations
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 (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

4 tweeters
1 patent


1 Dimensions

Readers on

22 Mendeley
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Programming Languages and Systems
Published by
Lecture notes in computer science, January 2004
DOI 10.1007/b102225
978-3-54-023724-2, 978-3-54-030477-7

Wei-Ngan Chin


Chin, Wei-Ngan

Twitter Demographics

The data shown below were collected from the profiles of 4 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 22 100%
Readers by discipline Count As %
Unknown 22 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 07 June 2016.
All research outputs
of 10,571,772 outputs
Outputs from Lecture notes in computer science
of 7,157 outputs
Outputs of similar age
of 328,347 outputs
Outputs of similar age from Lecture notes in computer science
of 1,101 outputs
Altmetric has tracked 10,571,772 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,157 research outputs from this source. They receive a mean Attention Score of 4.3. 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 328,347 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 80% of its contemporaries.
We're also able to compare this research output to 1,101 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.