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Graph-Based Modelling in Engineering

Overview of attention for book
Cover of 'Graph-Based Modelling in Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Bond Graphs in System Modelling
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    Chapter 2 Structural Importance and Local Importance in Network Reliability
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    Chapter 3 Access Distribution Scheme to the Computer System Based on Fuzzy Logic
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    Chapter 4 Problem of Medicines Distribution on the Example of Pharmaceutical Wholesale
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    Chapter 5 Bond Graph Model of a Robot Leg
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    Chapter 6 Kinematical Analysis of Variants of Wind Turbine Drive by Means of Graphs
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    Chapter 7 Graph-Based Algorithm for the Evaluation of the Mechanical Efficiency of Epicyclic Gear Drive in Hybrid Scooters
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    Chapter 8 Graph-Theoretic Modelling and Sensitivity Analysis of Dynamic Systems
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    Chapter 9 Three-Dimensional Analysis of Vehicle Stability Using Graph Theory
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    Chapter 10 Analysis of the Kinematics of Planar Link Mechanism with Non-stationary Motion of Crank
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    Chapter 11 Petri Nets for Computer Aided Group Technology
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    Chapter 12 Graph Theory in Product Development Planning
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    Chapter 13 A Digital Pattern Approach to 3D CAD Modelling of Automotive Car Door Assembly by Using Directed Graphs
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    Chapter 14 Application of Game Graphs to Describe the Inverse Problem in the Designing of Mechatronic Vibrating Systems
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    Chapter 15 Graphic Matrix Formalization of Logical Decision Trees in the Optimization of Machine Systems
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    Chapter 16 The Class of Objects Graph Model as Dataware of Structural Synthesis System
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    Chapter 17 Search Module as a Tool for Improvement of Classifier
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    Chapter 18 Kazimierz Kuratowski—Biography and Genesis of the Theorem on Planar Graphs
Overall attention for this book and its chapters
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19 Mendeley
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Title
Graph-Based Modelling in Engineering
Published by
Mechanisms and Machine Science, January 2017
DOI 10.1007/978-3-319-39020-8
ISBNs
978-3-31-939018-5, 978-3-31-939020-8
Editors

Stanisław Zawiślak, Jacek Rysiński

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

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 26%
Student > Ph. D. Student 5 26%
Researcher 2 11%
Lecturer > Senior Lecturer 2 11%
Other 1 5%
Other 3 16%
Unknown 1 5%
Readers by discipline Count As %
Engineering 13 68%
Mathematics 1 5%
Chemical Engineering 1 5%
Neuroscience 1 5%
Computer Science 1 5%
Other 0 0%
Unknown 2 11%
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 09 November 2016.
All research outputs
#20,438,275
of 25,992,468 outputs
Outputs from Mechanisms and Machine Science
#1
of 1 outputs
Outputs of similar age
#308,829
of 425,695 outputs
Outputs of similar age from Mechanisms and Machine Science
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.8. This one scored the same or higher as 0 of them.
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 425,695 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them