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Functional and Logic Programming

Overview of attention for book
Cover of 'Functional and Logic Programming'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 PrologCheck – Property-Based Testing in Prolog
  3. Altmetric Badge
    Chapter 2 Generating Constrained Random Data with Uniform Distribution
  4. Altmetric Badge
    Chapter 3 Guided Type Debugging
  5. Altmetric Badge
    Chapter 4 Using Big-Step and Small-Step Semantics in Maude to Perform Declarative Debugging
  6. Altmetric Badge
    Chapter 5 Faustine: A Vector Faust Interpreter Test Bed for Multimedia Signal Processing
  7. Altmetric Badge
    Chapter 6 The Design and Implementation of BER MetaOCaml
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    Chapter 7 On Cross-Stage Persistence in Multi-Stage Programming
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    Chapter 8 Lightweight Higher-Kinded Polymorphism
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    Chapter 9 Generic Programming with Multiple Parameters
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    Chapter 10 Type-Based Amortized Resource Analysis with Integers and Arrays
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    Chapter 11 Linear Sized Types in the Calculus of Constructions
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    Chapter 12 Dynamic Programming via Thinning and Incrementalization
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    Chapter 13 POSIX Regular Expression Parsing with Derivatives
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    Chapter 14 Proving Correctness of Compilers Using Structured Graphs
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    Chapter 15 A New Formalization of Subtyping to Match Subclasses to Subtypes
  17. Altmetric Badge
    Chapter 16 Type Soundness and Race Freedom for Mezzo
  18. Altmetric Badge
    Chapter 17 Semantics for Prolog with Cut – Revisited
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    Chapter 18 Constraint Logic Programming for Hedges: A Semantic Reconstruction
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    Chapter 19 How Many Numbers Can a Lambda-Term Contain?
  21. Altmetric Badge
    Chapter 20 AC-KBO Revisited
  22. Altmetric Badge
    Chapter 21 Well-Structured Pushdown System: Case of Dense Timed Pushdown Automata
Attention for Chapter 8: Lightweight Higher-Kinded Polymorphism
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

2 tweeters


1 Dimensions

Readers on

37 Mendeley
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Chapter title
Lightweight Higher-Kinded Polymorphism
Chapter number 8
Book title
Functional and Logic Programming
Published in
Lecture notes in computer science, January 2014
DOI 10.1007/978-3-319-07151-0_8
Book ISBNs
978-3-31-907150-3, 978-3-31-907151-0

Jeremy Yallop, Leo White, Michael Codish, Eijiro Sumii

Twitter Demographics

The data shown below were collected from the profiles of 2 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 3%
United States 1 3%
Unknown 35 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 22%
Student > Master 8 22%
Other 7 19%
Researcher 6 16%
Student > Ph. D. Student 3 8%
Other 3 8%
Unknown 2 5%
Readers by discipline Count As %
Computer Science 32 86%
Mathematics 1 3%
Business, Management and Accounting 1 3%
Linguistics 1 3%
Unknown 2 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 July 2015.
All research outputs
of 13,277,142 outputs
Outputs from Lecture notes in computer science
of 7,363 outputs
Outputs of similar age
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Outputs of similar age from Lecture notes in computer science
of 262 outputs
Altmetric has tracked 13,277,142 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,363 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 208,975 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 53% of its contemporaries.
We're also able to compare this research output to 262 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.