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Scientific Metrics: Towards Analytical and Quantitative Sciences

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Cover of 'Scientific Metrics: Towards Analytical and Quantitative Sciences'

Table of Contents

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    Book Overview
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    Chapter 1 The Linked-Measure and Linked-Field for Linking Micro-Particles to Macro-Cosmos with Dispelling Dark Matter and Dark Energy
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    Chapter 2 The Physical Linked-Measure Works as Vortex with Linking to Turbulence
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    Chapter 3 The Clifford-Finslerian Linked-Field Leads Branching Multiverse
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    Chapter 4 A Clifford-Finslerian Physical Unification and Fractal Dynamics
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    Chapter 5 A Vortex Mechanism Linking Micro-Particle to Macro-Galaxy Without Supersymmetry
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    Chapter 6 The Physical Foundation of Information and the Unification of Physics
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    Chapter 7 A Probe into the Unification of Micro-Macro-Economics: Arrow-Debreu-Mundell-Fleming Model as a Standard Model
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    Chapter 8 The Commodity-Money Analytical Framework: A Unified Approach to Micro-Macro-Economics and Complex Economics
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    Chapter 9 Economic Complex Analysis for Approaching Economic Equilibrium and Economic Stability
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    Chapter 10 Complex Economic Metrics Linking to Scaling Money Supply
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    Chapter 11 A Synthetic Macro-Economic Model Integrating Interest, Exchange and Tax Rates
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    Chapter 12 A Cubic Integrated Economic Model for Macro-Economic Analysis
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    Chapter 13 Measuring Knowledge: A Quantitative Approach to Knowledge Theory
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    Chapter 14 A Theoretical Unification of Informetric Models by Wave-Heat Equations
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    Chapter 15 The Empirical Investigation and Theoretical Unification of Mathematical Models for the h -Index
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    Chapter 16 The h -Type Core Structure in Single-Layer and Multi-layer Weighted Information Networks
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    Chapter 17 The h -Core and h -Tail Distribution with Dynamic Metrics
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    Chapter 18 A Quantitative Relationship Between Per Capita GDP and Scientometric Criteria
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13 Mendeley
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Title
Scientific Metrics: Towards Analytical and Quantitative Sciences
Published by
Springer Singapore, October 2017
DOI 10.1007/978-981-10-5936-0
ISBNs
978-9-81-105935-3, 978-9-81-105936-0
Authors

Ye, Fred Y.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 15%
Student > Master 2 15%
Librarian 1 8%
Student > Ph. D. Student 1 8%
Other 1 8%
Other 2 15%
Unknown 4 31%
Readers by discipline Count As %
Social Sciences 5 38%
Business, Management and Accounting 1 8%
Mathematics 1 8%
Physics and Astronomy 1 8%
Economics, Econometrics and Finance 1 8%
Other 0 0%
Unknown 4 31%