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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
  8. Altmetric Badge
    Chapter 7 On Cross-Stage Persistence in Multi-Stage Programming
  9. Altmetric Badge
    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
  14. Altmetric Badge
    Chapter 13 POSIX Regular Expression Parsing with Derivatives
  15. Altmetric Badge
    Chapter 14 Proving Correctness of Compilers Using Structured Graphs
  16. Altmetric Badge
    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
  20. Altmetric Badge
    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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Mentioned by

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2 X users

Citations

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Readers on

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36 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
Authors

Jeremy Yallop, Leo White, Michael Codish, Eijiro Sumii

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 36 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 34 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 22%
Student > Bachelor 7 19%
Other 7 19%
Researcher 6 17%
Student > Ph. D. Student 3 8%
Other 3 8%
Unknown 2 6%
Readers by discipline Count As %
Computer Science 31 86%
Mathematics 1 3%
Business, Management and Accounting 1 3%
Linguistics 1 3%
Unknown 2 6%
Attention Score in Context

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
#15,956,024
of 25,248,299 outputs
Outputs from Lecture notes in computer science
#4,407
of 8,157 outputs
Outputs of similar age
#187,218
of 318,536 outputs
Outputs of similar age from Lecture notes in computer science
#151
of 283 outputs
Altmetric has tracked 25,248,299 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,157 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 43rd percentile – i.e., 43% 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 318,536 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 283 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.