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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
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    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
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    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
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
21 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.
Title
Objects, Models, Components, Patterns
Published by
Lecture notes in computer science, January 2011
DOI 10.1007/978-3-642-21952-8
ISBNs
978-3-64-221951-1, 978-3-64-221952-8
Authors

Bishop, Judith, Vallecillo, Antonio

Editors

Judith Bishop, Antonio Vallecillo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 5%
Student > Doctoral Student 1 5%
Unknown 19 90%
Readers by discipline Count As %
Computer Science 1 5%
Engineering 1 5%
Unknown 19 90%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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
#3,731,570
of 22,844,985 outputs
Outputs from Lecture notes in computer science
#878
of 8,126 outputs
Outputs of similar age
#24,593
of 180,869 outputs
Outputs of similar age from Lecture notes in computer science
#20
of 317 outputs
Altmetric has tracked 22,844,985 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 89% 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 180,869 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 86% of its contemporaries.
We're also able to compare this research output to 317 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.