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Objects, Models, Components, Patterns

Overview of attention for book
Cover of 'Objects, Models, Components, Patterns'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Synchronizing Models and Code (Invited Talk)
  3. Altmetric Badge
    Chapter 2 Finding and Fixing Bugs in Web Applications (Invited Talk)
  4. Altmetric Badge
    Chapter 3 Test Suite Quality for Model Transformation Chains
  5. Altmetric Badge
    Chapter 4 Automated Translation of Java Source Code to Eiffel
  6. Altmetric Badge
    Chapter 5 A Generic Solution for Syntax-Driven Model Co-evolution
  7. Altmetric Badge
    Chapter 6 From UML Profiles to EMF Profiles and Beyond
  8. Altmetric Badge
    Chapter 7 Domain-Specific Profiling
  9. Altmetric Badge
    Chapter 8 Metamodel Dependencies for Executable Models
  10. Altmetric Badge
    Chapter 9 KlaperSuite: An Integrated Model-Driven Environment for Reliability and Performance Analysis of Component-Based Systems
  11. Altmetric Badge
    Chapter 10 Unifying Subjectivity
  12. Altmetric Badge
    Chapter 11 An Overview of ALIA4J
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    Chapter 12 A Heuristic Approach for Computing Effects
  14. Altmetric Badge
    Chapter 13 Systems Evolution and Software Reuse in Object-Oriented Programming and Aspect-Oriented Programming
  15. Altmetric Badge
    Chapter 14 Lifted Java: A Minimal Calculus for Translation Polymorphism
  16. Altmetric Badge
    Chapter 15 Location Types for Safe Distributed Object-Oriented Programming
  17. Altmetric Badge
    Chapter 16 Static Dominance Inference
  18. Altmetric Badge
    Chapter 17 A Case of Visitor versus Interpreter Pattern
  19. Altmetric Badge
    Chapter 18 Computational REST Meets Erlang
  20. Altmetric Badge
    Chapter 19 Efficient Retrieval and Ranking of Undesired Package Cycles in Large Software Systems
  21. Altmetric Badge
    Chapter 20 Seuss: Better Class Responsibilities through Language-Based Dependency Injection
  22. Altmetric Badge
    Chapter 21 Extensive Validation of OCL Models by Integrating SAT Solving into USE
Attention for Chapter 4: Automated Translation of Java Source Code to Eiffel
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Mentioned by

wikipedia
3 Wikipedia pages

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
8 Mendeley
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Chapter title
Automated Translation of Java Source Code to Eiffel
Chapter number 4
Book title
Objects, Models, Components, Patterns
Published in
Lecture notes in computer science, June 2011
DOI 10.1007/978-3-642-21952-8_4
Book ISBNs
978-3-64-221951-1, 978-3-64-221952-8
Authors

Marco Trudel, Manuel Oriol, Carlo A. Furia, Martin Nordio

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 %
Switzerland 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 25%
Other 2 25%
Student > Master 2 25%
Lecturer > Senior Lecturer 1 13%
Student > Postgraduate 1 13%
Other 0 0%
Readers by discipline Count As %
Computer Science 6 75%
Business, Management and Accounting 1 13%
Engineering 1 13%
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 11 April 2018.
All research outputs
#7,453,479
of 22,786,691 outputs
Outputs from Lecture notes in computer science
#2,486
of 8,125 outputs
Outputs of similar age
#41,603
of 115,696 outputs
Outputs of similar age from Lecture notes in computer science
#13
of 64 outputs
Altmetric has tracked 22,786,691 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 8,125 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 115,696 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 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 50% of its contemporaries.