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Software Language Engineering

Overview of attention for book
Cover of 'Software Language Engineering'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Dark Knowledge and Graph Grammars in Automated Software Design
  3. Altmetric Badge
    Chapter 2 Developing a Domain-Specific Language for Scheduling in the European Energy Sector
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    Chapter 3 Micro-Machinations
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    Chapter 4 xMOF: Executable DSMLs Based on fUML
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    Chapter 5 Variability Support in Domain-Specific Language Development
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    Chapter 6 Software Evolution to Domain-Specific Languages
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    Chapter 7 Micropatterns in Grammars
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    Chapter 8 Safe Specification of Operator Precedence Rules
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    Chapter 9 Detecting Ambiguity in Programming Language Grammars
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    Chapter 10 A Pretty Good Formatting Pipeline
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    Chapter 11 The State Of The Art In Language Workbenches. Conclusions From The Language Workbench Challenge
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    Chapter 12 A Model-Driven Approach to Enhance Tool Interoperability Using the Theory of Models of Computation
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    Chapter 13 Whiley: A Platform for Research in Software Verification
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    Chapter 14 Method and Tool Support for Classifying Software Languages with Wikipedia
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    Chapter 15 A Language Independent Task Engine for Incremental Name and Type Analysis
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    Chapter 16 A Generic Framework for Symbolic Execution
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    Chapter 17 Circular Higher-Order Reference Attribute Grammars
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    Chapter 18 Mapping-Aware Megamodeling: Design Patterns and Laws
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    Chapter 19 Partial Instances via Subclassing
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    Chapter 20 Reifying Concurrency for Executable Metamodeling
Attention for Chapter 3: Micro-Machinations
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11 Mendeley
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Chapter title
Micro-Machinations
Chapter number 3
Book title
Software Language Engineering
Published in
Lecture notes in computer science, October 2013
DOI 10.1007/978-3-319-02654-1_3
Book ISBNs
978-3-31-902653-4, 978-3-31-902654-1
Authors

Paul Klint, Riemer van Rozen, Klint, Paul, Rozen, Riemer van, van Rozen, Riemer

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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 18%
Student > Bachelor 2 18%
Researcher 2 18%
Lecturer 1 9%
Student > Postgraduate 1 9%
Other 0 0%
Unknown 3 27%
Readers by discipline Count As %
Computer Science 5 45%
Business, Management and Accounting 1 9%
Mathematics 1 9%
Social Sciences 1 9%
Design 1 9%
Other 0 0%
Unknown 2 18%
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 January 2015.
All research outputs
#18,351,676
of 22,727,570 outputs
Outputs from Lecture notes in computer science
#6,008
of 8,126 outputs
Outputs of similar age
#157,911
of 212,193 outputs
Outputs of similar age from Lecture notes in computer science
#97
of 128 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 14th percentile – i.e., 14% 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 212,193 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 128 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.