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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 A Language for Software Variation Research
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    Chapter 2 Automated Selective Caching for Reference Attribute Grammars
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    Chapter 3 Reference Attribute Grammars for Metamodel Semantics
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    Chapter 4 Modelling GLL Parser Implementations
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    Chapter 5 Metamodel Usage Analysis for Identifying Metamodel Improvements
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    Chapter 6 Domain-Specific Modelling Languages with Algebraic Graph Transformations on RDF
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    Chapter 7 Feature and Meta-Models in Clafer: Mixed, Specialized, and Coupled
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    Chapter 8 Support for the Evolution of C++ Generic Functions
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    Chapter 9 Automated Co-evolution of GMF Editor Models
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    Chapter 10 An Extensive Catalog of Operators for the Coupled Evolution of Metamodels and Models
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    Chapter 11 JTL: A Bidirectional and Change Propagating Transformation Language
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    Chapter 12 Software Engineering and the Semantic Web: A Match Made in Heaven or in Hell?
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    Chapter 13 A Unified Format for Language Documents
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    Chapter 14 Canonical Method Names for Java
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    Chapter 15 Subjective-C
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    Chapter 16 The Level-Agnostic Modeling Language
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    Chapter 17 Debugging in Domain-Specific Modelling
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    Chapter 18 COPE – A Workbench for the Coupled Evolution of Metamodels and Models
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    Chapter 19 DSLTrans: A Turing Incomplete Transformation Language
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    Chapter 20 Translator Generation Using ART
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    Chapter 21 Empirical Language Analysis in Software Linguistics
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    Chapter 22 Interactive Disambiguation of Meta Programs with Concrete Object Syntax
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    Chapter 23 Evaluating a Textual Feature Modelling Language: Four Industrial Case Studies
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    Chapter 24 Extending DMM Behavior Specifications for Visual Execution and Debugging
  26. Altmetric Badge
    Chapter 25 Analysing the Cognitive Effectiveness of the BPMN 2.0 Visual Notation
  27. Altmetric Badge
    Chapter 26 Featherweight TeX and Parser Correctness
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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

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20 X users

Citations

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Readers on

mendeley
57 Mendeley
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Title
Software Language Engineering
Published by
ADS, February 2011
DOI 10.1007/978-3-642-19440-5
ISBNs
978-3-64-219439-9, 978-3-64-219440-5
Editors

Malloy, Brian, Staab, Steffen, Brand, Mark, Malloy, Brian, Staab, Steffen, Brand, Mark

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 5%
Spain 2 4%
Switzerland 1 2%
Chile 1 2%
Denmark 1 2%
Uruguay 1 2%
Belgium 1 2%
Unknown 47 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 37%
Student > Master 13 23%
Researcher 6 11%
Student > Doctoral Student 5 9%
Professor > Associate Professor 3 5%
Other 9 16%
Readers by discipline Count As %
Computer Science 46 81%
Engineering 3 5%
Business, Management and Accounting 2 4%
Unspecified 2 4%
Social Sciences 1 2%
Other 3 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 02 January 2022.
All research outputs
#2,291,129
of 25,791,495 outputs
Outputs from ADS
#1,061
of 26,264 outputs
Outputs of similar age
#9,379
of 120,043 outputs
Outputs of similar age from ADS
#5
of 233 outputs
Altmetric has tracked 25,791,495 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 26,264 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 95% 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 120,043 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 233 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 97% of its contemporaries.