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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 Probabilistic Programs as Spreadsheet Queries
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    Chapter 2 Static Analysis of Spreadsheet Applications for Type-Unsafe Operations Detection
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    Chapter 3 Running Probabilistic Programs Backwards
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    Chapter 4 A Verified Compiler for Probability Density Functions
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    Chapter 5 Segment Abstraction for Worst-Case Execution Time Analysis
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    Chapter 6 Automatic Static Cost Analysis for Parallel Programs
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    Chapter 7 Sound, Modular and Compositional Verification of the Input/Output Behavior of Programs
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    Chapter 8 Unrestricted Termination and Non-termination Arguments for Bit-Vector Programs
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    Chapter 9 A Theory of Name Resolution
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    Chapter 10 A Core Calculus for XQuery 3.0
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    Chapter 11 IsoLATE : A Type System for Self-recursion
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    Chapter 12 Programming Languages and Systems
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    Chapter 13 The Best of Both Worlds: Trading Efficiency and Optimality in Fence Insertion for TSO
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    Chapter 14 Specifying and Verifying Concurrent Algorithms with Histories and Subjectivity
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    Chapter 15 Witnessing (Co)datatypes
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    Chapter 16 Making Random Judgments: Automatically Generating Well-Typed Terms from the Definition of a Type-System
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    Chapter 17 Refinement Types for Incremental Computational Complexity
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    Chapter 18 Monotonic References for Efficient Gradual Typing
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    Chapter 19 Inter-procedural Two-Variable Herbrand Equalities
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    Chapter 20 Desynchronized Multi-State Abstractions for Open Programs in Dynamic Languages
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    Chapter 21 Fine-Grained Detection of Privilege Escalation Attacks on Browser Extensions
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    Chapter 22 Analysis of Asynchronous Programs with Event-Based Synchronization
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    Chapter 23 A Semantics for Propositions as Sessions
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    Chapter 24 Composite Replicated Data Types
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    Chapter 25 Relaxed Stratification: A New Approach to Practical Complete Predicate Refinement
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    Chapter 26 Spatial Interpolants
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    Chapter 27 Propositional Reasoning about Safety and Termination of Heap-Manipulating Programs
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    Chapter 28 Full Reduction in the Face of Absurdity
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    Chapter 29 CoLoSL: Concurrent Local Subjective Logic
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    Chapter 30 A Separation Logic for Fictional Sequential Consistency
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    Chapter 31 Binding Structures as an Abstract Data Type
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    Chapter 32 Type-Based Allocation Analysis for Co-recursion in Lazy Functional Languages
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    Chapter 33 Type Targeted Testing
Attention for Chapter 4: A Verified Compiler for Probability Density Functions
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
5 X users
facebook
1 Facebook page

Citations

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1 Dimensions

Readers on

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8 Mendeley
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Chapter title
A Verified Compiler for Probability Density Functions
Chapter number 4
Book title
Programming Languages and Systems
Published in
arXiv, July 2017
DOI 10.1007/978-3-662-46669-8_4
Book ISBNs
978-3-66-246668-1, 978-3-66-246669-8
Authors

Manuel Eberl, Johannes Hölzl, Tobias Nipkow, Eberl, Manuel, Hölzl, Johannes, Nipkow, Tobias

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Lecturer > Senior Lecturer 1 13%
Other 1 13%
Professor 1 13%
Student > Master 1 13%
Other 2 25%
Readers by discipline Count As %
Computer Science 7 88%
Linguistics 1 13%
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 October 2018.
All research outputs
#7,198,339
of 22,990,068 outputs
Outputs from arXiv
#157,105
of 943,643 outputs
Outputs of similar age
#113,999
of 314,579 outputs
Outputs of similar age from arXiv
#3,300
of 18,829 outputs
Altmetric has tracked 22,990,068 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 943,643 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 83% 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 314,579 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 63% of its contemporaries.
We're also able to compare this research output to 18,829 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.