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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 On the Automated Derivation of Domain-Specific UML Profiles
  3. Altmetric Badge
    Chapter 2 Towards Seamless Hybrid Graphical–Textual Modelling for UML and Profiles
  4. Altmetric Badge
    Chapter 3 Modeling Architectures of Cyber-Physical Systems
  5. Altmetric Badge
    Chapter 4 Systematic Language Extension Mechanisms for the MontiArc Architecture Description Language
  6. Altmetric Badge
    Chapter 5 A Feature-Based Approach for Variability Exploration and Resolution in Model Transformation Migration
  7. Altmetric Badge
    Chapter 6 On the Influence of Models at Run-Time Traces in Dynamic Feature Location
  8. Altmetric Badge
    Chapter 7 cMoflon: Model-Driven Generation of Embedded C Code for Wireless Sensor Networks
  9. Altmetric Badge
    Chapter 8 Self-adaptive UIs: Integrated Model-Driven Development of UIs and Their Adaptations
  10. Altmetric Badge
    Chapter 9 Iterative Model-Driven Development of Software Extensions for Web Content Management Systems
  11. Altmetric Badge
    Chapter 10 Efficient Consistency Checking of Interrelated Models
  12. Altmetric Badge
    Chapter 11 Finding Achievable Features and Constraint Conflicts for Inconsistent Metamodels
  13. Altmetric Badge
    Chapter 12 Model Consistency for Distributed Collaborative Modeling
  14. Altmetric Badge
    Chapter 13 Model-Based Privacy Analysis in Industrial Ecosystems
  15. Altmetric Badge
    Chapter 14 Formulating Model Verification Tasks Prover-Independently as UML Diagrams
  16. Altmetric Badge
    Chapter 15 Modeling and Formal Analysis of Probabilistic Complex Event Processing (CEP) Applications
  17. Altmetric Badge
    Chapter 16 Example-Driven Web API Specification Discovery
  18. Altmetric Badge
    Chapter 17 Technology-Preserving Transition from Single-Core to Multi-core in Modelling Vehicular Systems
  19. Altmetric Badge
    Chapter 18 On the Opportunities of Scalable Modeling Technologies: An Experience Report on Wind Turbines Control Applications Development
Attention for Chapter 7: cMoflon: Model-Driven Generation of Embedded C Code for Wireless Sensor Networks
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

wikipedia
3 Wikipedia pages

Readers on

mendeley
7 Mendeley
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Chapter title
cMoflon: Model-Driven Generation of Embedded C Code for Wireless Sensor Networks
Chapter number 7
Book title
Modelling Foundations and Applications
Published in
Lecture notes in computer science, June 2017
DOI 10.1007/978-3-319-61482-3_7
Book ISBNs
978-3-31-961481-6, 978-3-31-961482-3
Authors

Roland Kluge, Michael Stein, David Giessing, Andy Schürr, Max Mühlhäuser

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Student > Doctoral Student 1 14%
Student > Master 1 14%
Unknown 3 43%
Readers by discipline Count As %
Computer Science 4 57%
Unknown 3 43%

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 28 June 2020.
All research outputs
#4,821,945
of 15,404,988 outputs
Outputs from Lecture notes in computer science
#2,197
of 7,568 outputs
Outputs of similar age
#97,999
of 268,393 outputs
Outputs of similar age from Lecture notes in computer science
#30
of 120 outputs
Altmetric has tracked 15,404,988 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,568 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 58% 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 268,393 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 60% of its contemporaries.
We're also able to compare this research output to 120 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.