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Modelling Foundations and Applications

Overview of attention for book
Cover of 'Modelling Foundations and Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Hierarchical Clustering of Metamodels for Comparative Analysis and Visualization
  3. Altmetric Badge
    Chapter 2 Advanced Local Checking of Global Consistency in Heterogeneous Multimodeling
  4. Altmetric Badge
    Chapter 3 Supporting the Linked Data Approach to Maintain Coherence Across Rich EMF Models
  5. Altmetric Badge
    Chapter 4 Stress-Testing Centralised Model Stores
  6. Altmetric Badge
    Chapter 5 Compositional Language Engineering Using Generated, Extensible, Static Type-Safe Visitors
  7. Altmetric Badge
    Chapter 6 Modelling Foundations and Applications
  8. Altmetric Badge
    Chapter 7 Example-Based Generation of Graphical Modelling Environments
  9. Altmetric Badge
    Chapter 8 Associations in MDE: A Concern-Oriented, Reusable Solution
  10. Altmetric Badge
    Chapter 9 Automated Metamodel/Model Co-evolution Using a Multi-objective Optimization Approach
  11. Altmetric Badge
    Chapter 10 Modelling Foundations and Applications
  12. Altmetric Badge
    Chapter 11 Isolating and Reusing Template Instances in UML
  13. Altmetric Badge
    Chapter 12 MBF4CR: A Model-Based Framework for Supporting an Automated Cancer Registry System
  14. Altmetric Badge
    Chapter 13 Metamodeling vs Metaprogramming: A Case Study on Developing Client Libraries for REST APIs
  15. Altmetric Badge
    Chapter 14 Experiences with Model-Driven Engineering in Neurorobotics
  16. Altmetric Badge
    Chapter 15 Modelling Foundations and Applications
  17. Altmetric Badge
    Chapter 16 Understanding Uncertainty in Cyber-Physical Systems: A Conceptual Model
Attention for Chapter 15: Modelling Foundations and Applications
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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8 Mendeley
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Chapter title
Modelling Foundations and Applications
Chapter number 15
Book title
Modelling Foundations and Applications
Published in
Lecture notes in computer science, July 2016
DOI 10.1007/978-3-319-42061-5_15
Book ISBNs
978-3-31-942060-8, 978-3-31-942061-5
Authors

Davide Di Ruscio, Juergen Etzlstorfer, Ludovico Iovino, Alfonso Pierantonio, Wieland Schwinger

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 38%
Student > Ph. D. Student 3 38%
Professor 2 25%
Readers by discipline Count As %
Computer Science 8 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 08 July 2016.
All research outputs
#7,385,449
of 22,879,161 outputs
Outputs from Lecture notes in computer science
#2,445
of 8,130 outputs
Outputs of similar age
#123,799
of 355,479 outputs
Outputs of similar age from Lecture notes in computer science
#110
of 388 outputs
Altmetric has tracked 22,879,161 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 8,130 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 69% 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 355,479 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 64% of its contemporaries.
We're also able to compare this research output to 388 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 70% of its contemporaries.