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Graph Transformation

Overview of attention for book
Cover of 'Graph Transformation'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Polymorphic Sesqui-Pushout Graph Rewriting
  3. Altmetric Badge
    Chapter 2 Predictive Top-Down Parsing for Hyperedge Replacement Grammars
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    Chapter 3 AGREE – Algebraic Graph Rewriting with Controlled Embedding
  5. Altmetric Badge
    Chapter 4 Proving Termination of Graph Transformation Systems Using Weighted Type Graphs over Semirings
  6. Altmetric Badge
    Chapter 5 Towards Local Confluence Analysis for Amalgamated Graph Transformation
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    Chapter 6 Multi-amalgamated Triple Graph Grammars
  8. Altmetric Badge
    Chapter 7 Reconfigurable Petri Nets with Transition Priorities and Inhibitor Arcs
  9. Altmetric Badge
    Chapter 8 Reachability in Graph Transformation Systems and Slice Languages
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    Chapter 9 Equational Reasoning with Context-Free Families of String Diagrams
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    Chapter 10 Translating Essential OCL Invariants to Nested Graph Constraints Focusing on Set Operations
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    Chapter 11 Characterizing Conflicts Between Rule Application and Rule Evolution in Graph Transformation Systems
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    Chapter 12 Graph Pattern Matching as an Embedded Clojure DSL
  14. Altmetric Badge
    Chapter 13 Using Graph Transformations for Formalizing Prescriptions and Monitoring Adherence
  15. Altmetric Badge
    Chapter 14 Towards Compliance Verification Between Global and Local Process Models
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    Chapter 15 Inductive Invariant Checking with Partial Negative Application Conditions
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    Chapter 16 Tool Support for Multi-amalgamated Triple Graph Grammars
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    Chapter 17 Uncover: Using Coverability Analysis for Verifying Graph Transformation Systems
  19. Altmetric Badge
    Chapter 18 Local Search-Based Pattern Matching Features in EMF-IncQuery
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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7 X users

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5 Mendeley
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Title
Graph Transformation
Published by
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-21145-9
ISBNs
978-3-31-921144-2, 978-3-31-921145-9
Authors

Francesco Parisi-Presicce, Bernhard Westfechtel

Editors

Parisi-Presicce, Francesco, Westfechtel, Bernhard

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 20%
Student > Doctoral Student 1 20%
Student > Bachelor 1 20%
Student > Ph. D. Student 1 20%
Researcher 1 20%
Other 0 0%
Readers by discipline Count As %
Computer Science 4 80%
Engineering 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 October 2020.
All research outputs
#6,487,695
of 23,852,579 outputs
Outputs from Lecture notes in computer science
#2,035
of 8,162 outputs
Outputs of similar age
#85,227
of 357,801 outputs
Outputs of similar age from Lecture notes in computer science
#89
of 258 outputs
Altmetric has tracked 23,852,579 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 8,162 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 74% 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 357,801 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 75% of its contemporaries.
We're also able to compare this research output to 258 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.