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Computational Methods and Models for Transport

Overview of attention for book
Cover of 'Computational Methods and Models for Transport'

Table of Contents

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    Book Overview
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    Chapter 1 The Revolutionary Internet of Things
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    Chapter 2 A Computational Modeler’s Tour of the Port of Houston
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    Chapter 3 Agile Deep Learning UAVs Operating in Smart Spaces: Collective Intelligence Versus “Mission-Impossible”
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    Chapter 4 A Simple Metaheuristic for the FleetSize and Mix Problem with TimeWindows
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    Chapter 5 Green Route Allocation in a Transportation Network
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    Chapter 6 Why to Climb If One Can Jump: A Hill Jumping Algorithm for the Vehicle Routing Problem with Time Windows
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    Chapter 7 Clustering Driving Destinations Using a Modified DBSCAN Algorithm with Locally-Defined Map-Based Thresholds
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    Chapter 8 Automatic Customization Framework for Efficient Vehicle Routing System Deployment
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    Chapter 9 The Multi-period Fleet Size and Mix Vehicle Routing Problem with Stochastic Demands
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    Chapter 10 Applying Multi-objective Robust Design Optimization Procedure to the Route Planning of a Commercial Aircraft
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    Chapter 11 Reallocation of Logistics Costs in a Cooperative Network of Sawmills
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    Chapter 12 Impact of the Heterogeneity of the Ballast on the Dynamical Behavior of the Ballast-Soil System
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    Chapter 13 Numerical and Parametric Study of MVGs on a UAV Geometry in Subsonic Flow
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    Chapter 14 Investigating Side-Wind Stability of High Speed Trains Using High Resolution Large Eddy Simulations and Hybrid Models
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    Chapter 15 Russian Mechanism to Support Renewable Energy Investments: Before and After Analysis
Overall attention for this book and its chapters
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

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3 X users
facebook
1 Facebook page

Citations

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2 Dimensions

Readers on

mendeley
33 Mendeley
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Title
Computational Methods and Models for Transport
Published by
Computational methods in applied sciences, January 2018
DOI 10.1007/978-3-319-54490-8
ISBNs
978-3-31-954490-8, 978-3-31-954489-2
Editors

Pedro Diez, Pekka Neittaanmäki, Jacques Periaux, Tero Tuovinen, Olli Bräysy

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Student > Master 8 24%
Researcher 5 15%
Student > Bachelor 3 9%
Student > Doctoral Student 2 6%
Other 5 15%
Unknown 2 6%
Readers by discipline Count As %
Computer Science 8 24%
Engineering 5 15%
Business, Management and Accounting 4 12%
Psychology 3 9%
Mathematics 2 6%
Other 7 21%
Unknown 4 12%
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 29 August 2020.
All research outputs
#13,031,653
of 23,313,051 outputs
Outputs from Computational methods in applied sciences
#2
of 8 outputs
Outputs of similar age
#203,672
of 443,933 outputs
Outputs of similar age from Computational methods in applied sciences
#1
of 1 outputs
Altmetric has tracked 23,313,051 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8 research outputs from this source. They receive a mean Attention Score of 1.2. This one scored the same or higher as 6 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 443,933 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 53% of its contemporaries.
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