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Proceedings of the 4th International Conference on the Industry 4.0 Model for Advanced Manufacturing

Overview of attention for book
Proceedings of the 4th International Conference on the Industry 4.0 Model for Advanced Manufacturing
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Nano - Precision Systems for Overlay in Advanced Lithography Processes
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    Chapter 2 Interoperability in Coordinate Metrology
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    Chapter 3 The Paradigm of Pit - Stop Manufacturing
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    Chapter 4 Design of the Codes Structure for Information System Working on I4.0 Principles
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    Chapter 5 A Critical Evaluation of Current Machine Tool Designs in the Digitalized Global Production Networks
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    Chapter 6 Statistical Study of Parameters in the Process of Orthogonal Cutting Surface Hardness
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    Chapter 7 Industry 4.0 Programs Worldwide
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    Chapter 8 Illuminating an Economy of the Future: How to Win the Transition to Industry 4.0 with New Economic Rules
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    Chapter 9 Competitiveness of Domestic Enterprises in Changing Markets and Industry 4.0
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    Chapter 10 Urban Manufacturing of Sustainable Customer-Oriented Products
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    Chapter 11 Zero Defect Manufacturing Strategies and Platform for Smart Factories of Industry 4.0
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    Chapter 12 Additive Manufacturing: New Trends in the 4 th Industrial Revolution
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    Chapter 13 A Hidden Markov Model Based Approach to Modeling and Monitoring of Processes with Imperfect Maintenance
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    Chapter 14 Launching New Projects in Industry 4.0: Best Practices of Automotive Suppliers
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    Chapter 15 The Use of Neutron Scattering in the Advancement of Additive Manufacturing
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    Chapter 16 A Cloud-Based Process Planning System in Industry 4.0 Framework
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    Chapter 17 Quality Education and Digitalization of the Economy
Attention for Chapter 10: Urban Manufacturing of Sustainable Customer-Oriented Products
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Chapter title
Urban Manufacturing of Sustainable Customer-Oriented Products
Chapter number 10
Book title
Proceedings of the 4th International Conference on the Industry 4.0 Model for Advanced Manufacturing
Published in
Lecture Notes in Mechanical Engineering, June 2019
DOI 10.1007/978-3-030-18180-2_10
Book ISBNs
978-3-03-018179-6, 978-3-03-018180-2
Authors

Andrea Barni, Emanuele Carpanzano, Giuseppe Landolfi, Paolo Pedrazzoli, Barni, Andrea, Carpanzano, Emanuele, Landolfi, Giuseppe, Pedrazzoli, Paolo

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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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 15%
Student > Doctoral Student 5 11%
Researcher 4 9%
Student > Master 2 4%
Professor 2 4%
Other 3 7%
Unknown 23 50%
Readers by discipline Count As %
Engineering 9 20%
Business, Management and Accounting 5 11%
Environmental Science 2 4%
Design 2 4%
Social Sciences 2 4%
Other 3 7%
Unknown 23 50%
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 15 July 2024.
All research outputs
#23,888,153
of 26,589,560 outputs
Outputs from Lecture Notes in Mechanical Engineering
#62
of 72 outputs
Outputs of similar age
#320,170
of 369,161 outputs
Outputs of similar age from Lecture Notes in Mechanical Engineering
#3
of 3 outputs
Altmetric has tracked 26,589,560 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 72 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 1st percentile – i.e., 1% 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 369,161 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.