↓ Skip to main content

Applications of Graph Transformations with Industrial Relevance

Overview of attention for book
Cover of 'Applications of Graph Transformations with Industrial Relevance'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Best Practices to Model Business Services in Complex IT Environments
  3. Altmetric Badge
    Chapter 2 Drools: A Rule Engine for Complex Event Processing
  4. Altmetric Badge
    Chapter 3 Graph Transformation Concepts for Meta-model Evolution Guaranteeing Permanent Type Conformance throughout Model Migration
  5. Altmetric Badge
    Chapter 4 A Graph Transformation-Based Semantics for Deep Metamodelling
  6. Altmetric Badge
    Chapter 5 Reusable Graph Transformation Templates
  7. Altmetric Badge
    Chapter 6 Towards an Automated 3D Reconstruction of Plant Architecture
  8. Altmetric Badge
    Chapter 7 Generating Graph Transformation Rules from AML/GT State Machine Diagrams for Building Animated Model Editors
  9. Altmetric Badge
    Chapter 8 AGG 2.0 – New Features for Specifying and Analyzing Algebraic Graph Transformations
  10. Altmetric Badge
    Chapter 9 Integration of a Pattern-Based Layout Engine into Diagram Editors
  11. Altmetric Badge
    Chapter 10 Tool Demonstration of the Transformation Judge
  12. Altmetric Badge
    Chapter 11 Knowledge-Based Graph Exploration Analysis
  13. Altmetric Badge
    Chapter 12 Graph Grammar Induction as a Parser-Controlled Heuristic Search Process
  14. Altmetric Badge
    Chapter 13 Planning Self-adaption with Graph Transformations
  15. Altmetric Badge
    Chapter 14 From Graph Transformation Units via MiniSat to GrGen.NET
  16. Altmetric Badge
    Chapter 15 Locality in Reasoning about Graph Transformations
  17. Altmetric Badge
    Chapter 16 Contextual Hyperedge Replacement
  18. Altmetric Badge
    Chapter 17 The Added Value of Programmed Graph Transformations – A Case Study from Software Configuration Management
  19. Altmetric Badge
    Chapter 18 A Case Study Based Comparison of ATL and SDM
  20. Altmetric Badge
    Chapter 19 Applying Advanced TGG Concepts for a Complex Transformation of Sequence Diagram Specifications to Timed Game Automata
  21. Altmetric Badge
    Chapter 20 Automatic Conformance Testing of Optimized Triple Graph Grammar Implementations
Attention for Chapter 4: A Graph Transformation-Based Semantics for Deep Metamodelling
Altmetric Badge

About this Attention Score

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

Mentioned by

twitter
1 X user

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
15 Mendeley
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.
Chapter title
A Graph Transformation-Based Semantics for Deep Metamodelling
Chapter number 4
Book title
Applications of Graph Transformations with Industrial Relevance
Published in
Lecture notes in computer science, January 2012
DOI 10.1007/978-3-642-34176-2_4
Book ISBNs
978-3-64-234175-5, 978-3-64-234176-2
Authors

Alessandro Rossini, Juan de Lara, Esther Guerra, Adrian Rutle, Yngve Lamo

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 7%
Germany 1 7%
Norway 1 7%
Unknown 12 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 47%
Student > Master 2 13%
Professor > Associate Professor 2 13%
Researcher 2 13%
Student > Bachelor 1 7%
Other 1 7%
Readers by discipline Count As %
Computer Science 10 67%
Engineering 2 13%
Physics and Astronomy 1 7%
Unknown 2 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 29 April 2015.
All research outputs
#14,720,444
of 23,577,654 outputs
Outputs from Lecture notes in computer science
#4,341
of 8,143 outputs
Outputs of similar age
#157,244
of 247,799 outputs
Outputs of similar age from Lecture notes in computer science
#229
of 489 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,143 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 44th percentile – i.e., 44% 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 247,799 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 489 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.