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Generic Programming

Overview of attention for book
Cover of 'Generic Programming'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Fundamentals of Generic Programming
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    Chapter 2 Requirement Oriented Programming
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    Chapter 3 Generative Programming and Active Libraries
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    Chapter 4 The Refinement Relation of Graph-Based Generic Programs
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    Chapter 5 The Construction Principles of the Class Library Karla
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    Chapter 6 Exception-Safety in Generic Components
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    Chapter 7 Segmented Iterators and Hierarchical Algorithms
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    Chapter 8 Theory and Generality of Complete Traversals
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    Chapter 9 A Data Abstraction Alternative to Data Structure/Algorithm Modularization
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    Chapter 10 Two Ways to Bake Your Pizza — Translating Parameterised Types into Java
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    Chapter 11 SuchThat — Generic Programming Works
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    Chapter 12 Software Development in PVS Using Generic Development Steps
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    Chapter 13 Model Checking Generic Container Implementations
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    Chapter 14 Mizar Correctness Proofs of Generic Fraction Field Arithmetic
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    Chapter 15 Language Independent Container Specification
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    Chapter 16 Applications of the Generic Programming Paradigm in the Design of CGAL
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    Chapter 17 Generic Programming in POOMA and PETE
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    Chapter 18 The STL Model in the Geometric Domain
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    Chapter 19 Generic Graph Algorithms
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    Chapter 20 A Generic Programming Environment for High-Performance Mathematical Libraries
Attention for Chapter 6: Exception-Safety in Generic Components
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
12 Mendeley
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Chapter title
Exception-Safety in Generic Components
Chapter number 6
Book title
Generic Programming
Published in
Lecture notes in computer science, November 2015
DOI 10.1007/3-540-39953-4_6
Book ISBNs
978-3-54-041090-4, 978-3-54-039953-7
Authors

David Abrahams, Abrahams, David

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 8%
Unknown 11 92%
Readers by discipline Count As %
Computer Science 1 8%
Unknown 11 92%
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 19 June 2020.
All research outputs
#7,451,584
of 22,780,967 outputs
Outputs from Lecture notes in computer science
#2,485
of 8,124 outputs
Outputs of similar age
#119,248
of 386,148 outputs
Outputs of similar age from Lecture notes in computer science
#270
of 499 outputs
Altmetric has tracked 22,780,967 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 8,124 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 386,148 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 56% of its contemporaries.
We're also able to compare this research output to 499 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.