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Advances in Production Technology

Overview of attention for book
Cover of 'Advances in Production Technology'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Hypotheses for a Theory of Production in the Context of Industrie 4.0
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    Chapter 3 The Production Logistic Theory as an Integral Part of a Theory of Production Technology
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    Chapter 4 Business Models with Additive Manufacturing—Opportunities and Challenges from the Perspective of Economics and Management
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    Chapter 5 SLM Production Systems: Recent Developments in Process Development, Machine Concepts and Component Design
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    Chapter 6 Meta-Modelling Techniques Towards Virtual Production Intelligence
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    Chapter 7 Designing New Forging Steels by ICMPE
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    Chapter 8 Productivity Improvement Through the Application of Hybrid Processes
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    Chapter 9 The Development of Incremental Sheet Forming from Flexible Forming to Fully Integrated Production of Sheet Metal Parts
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    Chapter 10 IMKS and IMMS—Two Integrated Methods for the One-Step-Production of Plastic/Metal Hybrid Parts
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    Chapter 11 A Symbolic Approach to Self-optimisation in Production System Analysis and Control
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    Chapter 12 Approaches of Self-optimising Systems in Manufacturing
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    Chapter 13 Adaptive Workplace Design Based on Biomechanical Stress Curves
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    Chapter 14 Human Factors in Production Systems
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    Chapter 15 Human Factors in Product Development and Design
Attention for Chapter 4: Business Models with Additive Manufacturing—Opportunities and Challenges from the Perspective of Economics and Management
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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 (85th percentile)

Mentioned by

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12 X users
facebook
1 Facebook page

Citations

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35 Dimensions

Readers on

mendeley
117 Mendeley
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Chapter title
Business Models with Additive Manufacturing—Opportunities and Challenges from the Perspective of Economics and Management
Chapter number 4
Book title
Advances in Production Technology
Published in
Lecture Notes in Production Engineering, February 2016
DOI 10.1007/978-3-319-12304-2_4
Book ISBNs
978-3-31-912303-5, 978-3-31-912304-2
Authors

Frank T. Piller, Christian Weller, Robin Kleer, Piller, Frank T., Weller, Christian, Kleer, Robin

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 116 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 22%
Student > Ph. D. Student 21 18%
Researcher 16 14%
Student > Bachelor 8 7%
Professor > Associate Professor 8 7%
Other 17 15%
Unknown 21 18%
Readers by discipline Count As %
Engineering 37 32%
Business, Management and Accounting 35 30%
Economics, Econometrics and Finance 7 6%
Materials Science 4 3%
Arts and Humanities 2 2%
Other 9 8%
Unknown 23 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 08 September 2019.
All research outputs
#3,527,068
of 25,992,468 outputs
Outputs from Lecture Notes in Production Engineering
#1
of 1 outputs
Outputs of similar age
#61,053
of 412,597 outputs
Outputs of similar age from Lecture Notes in Production Engineering
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. 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 412,597 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% 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