↓ Skip to main content

Relational Methods in Computer Science

Overview of attention for book
Cover of 'Relational Methods in Computer Science'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Topological Representation of Precontact Algebras
  3. Altmetric Badge
    Chapter 2 Relational Semantics Through Duality
  4. Altmetric Badge
    Chapter 3 Duality Theory for Projective Algebras
  5. Altmetric Badge
    Chapter 4 Relational Approach to Boolean Logic Problems
  6. Altmetric Badge
    Chapter 5 Static Analysis of Programs Using Omega Algebra with Tests
  7. Altmetric Badge
    Chapter 6 Weak Contact Structures
  8. Altmetric Badge
    Chapter 7 On Relational Cycles
  9. Altmetric Badge
    Chapter 8 A Framework for Kleene Algebra with an Embedded Structure
  10. Altmetric Badge
    Chapter 9 Non-termination in Unifying Theories of Programming
  11. Altmetric Badge
    Chapter 10 Towards an Algebra of Hybrid Systems
  12. Altmetric Badge
    Chapter 11 Relational Correspondences for Lattices with Operators
  13. Altmetric Badge
    Chapter 12 Control-Flow Semantics for Assembly-Level Data-Flow Graphs
  14. Altmetric Badge
    Chapter 13 Relational Implementation of Simple Parallel Evolutionary Algorithms
  15. Altmetric Badge
    Chapter 14 Lattice-Based Paraconsistent Logic
  16. Altmetric Badge
    Chapter 15 Verification of Pushdown Systems Using Omega Algebra with Domain
  17. Altmetric Badge
    Chapter 16 Relational Methods in Computer Science
  18. Altmetric Badge
    Chapter 17 Relational Representability for Algebras of Substructural Logics
  19. Altmetric Badge
    Chapter 18 Relational Methods in Computer Science
  20. Altmetric Badge
    Chapter 19 Quantifier Elimination in Elementary Set Theory
  21. Altmetric Badge
    Chapter 20 Time-Dependent Contact Structures in Goguen Categories
Overall attention for this book and its chapters
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
1 Wikipedia page
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Relational Methods in Computer Science
Published by
Lecture notes in computer science, January 2006
DOI 10.1007/11734673
ISBNs
978-3-54-033339-5, 978-3-54-033340-1
Authors

MacCaull, Wendy, Winter, Michael, Düntsch, Ivo

Editors

MacCaull, Wendy, Winter, Michael, Düntsch, Ivo

Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 July 2022.
All research outputs
#7,454,066
of 22,788,370 outputs
Outputs from Lecture notes in computer science
#2,486
of 8,127 outputs
Outputs of similar age
#40,087
of 154,389 outputs
Outputs of similar age from Lecture notes in computer science
#47
of 146 outputs
Altmetric has tracked 22,788,370 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 55% 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 154,389 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 146 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.