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Bibliometric delineation of scientific fields

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Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 The Journal Impact Factor: A Brief History, Critique, and Discussion of Adverse Effects
  3. Altmetric Badge
    Chapter 2 Bibliometric Delineation of Scientific Fields
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    Chapter 3 Knowledge Integration: Its Meaning and Measurement
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    Chapter 4 Google Scholar as a Data Source for Research Assessment
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    Chapter 5 Disentangling Gold Open Access
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    Chapter 6 Science Forecasts: Modeling and Communicating Developments in Science, Technology, and Innovation
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    Chapter 7 Science Mapping Analysis Software Tools: A Review
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    Chapter 8 Creation and Analysis of Large-Scale Bibliometric Networks
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    Chapter 9 Science Mapping and the Identification of Topics: Theoretical and Methodological Considerations
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    Chapter 10 Measuring Science: Basic Principles and Application of Advanced Bibliometrics
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    Chapter 11 Field Normalization of Scientometric Indicators
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    Chapter 12 All Along the h-Index-related Literature: A Guided Tour
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    Chapter 13 Citation Classes: A Distribution-based Approach for Evaluative Purposes
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    Chapter 14 An Overview of Author-Level Indicators of Research Performance
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    Chapter 15 Challenges, Approaches and Solutions in Data Integration for Research and Innovation
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    Chapter 16 Synergy in Innovation Systems Measured as Redundancy in Triple Helix Relations
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    Chapter 17 Scientometrics Shaping Science Policy and vice versa, the ECOOM Case
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    Chapter 18 Different Processes, Similar Results? A Comparison of Performance Assessment in Three Countries
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    Chapter 19 Scientific Collaboration Among BRICS: Trends and Priority Areas
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    Chapter 20 The Relevance of National Journals from a Chinese Perspective
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    Chapter 21 Bibliometric Studies on Gender Disparities in Science
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    Chapter 22 How Biomedical Research Can Inform Both Clinicians and the General Public
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    Chapter 23 Societal Impact Measurement of Research Papers
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    Chapter 24 Econometric Approaches to the Measurement of Research Productivity
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    Chapter 25 Developing Current Research Information Systems (CRIS) as Data Sources for Studies of Research
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    Chapter 26 Social Media Metrics for New Research Evaluation
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    Chapter 27 Reviewing, Indicating, and Counting Books for Modern Research Evaluation Systems
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    Chapter 28 Scholarly Twitter Metrics
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    Chapter 29 Readership Data and Research Impact
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    Chapter 30 Data Collection from the Web for Informetric Purposes
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    Chapter 31 Web Citation Indicators for Wider Impact Assessment of Articles
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    Chapter 32 Usage Bibliometrics as a Tool to Measure Research Activity
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    Chapter 33 Online Indicators for Non-Standard Academic Outputs
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    Chapter 34 Information Technology-Based Patent Retrieval Models
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    Chapter 35 The Role of the Patent Attorney in the Filing Process
  37. Altmetric Badge
    Chapter 36 Exploiting Images for Patent Search
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    Chapter 37 Methodological Challenges for Creating Accurate Patent Indicators
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    Chapter 38 Using Text Mining Algorithms for Patent Documents and Publications
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    Chapter 39 Application of Text-Analytics in Quantitative Study of Science and Technology
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    Chapter 40 Functional Patent Classification
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    Chapter 41 Computer-Implemented Inventions in Europe
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    Chapter 42 Interplay of Patents and Trademarks as Tools in Economic Competition
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    Chapter 43 Post Catch-up Trajectories: Publishing and Patenting Activities of China and Korea
  45. Altmetric Badge
    Chapter 44 Standardization and Standards as Science and Innovation Indicators
Attention for Chapter 10: Measuring Science: Basic Principles and Application of Advanced Bibliometrics
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Chapter title
Measuring Science: Basic Principles and Application of Advanced Bibliometrics
Chapter number 10
Book title
Springer Handbook of Science and Technology Indicators
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-02511-3_10
Book ISBNs
978-3-03-002510-6, 978-3-03-002511-3
Authors

Anthony van Raan, van Raan, Anthony

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 13%
Librarian 7 8%
Student > Master 7 8%
Student > Ph. D. Student 6 7%
Student > Doctoral Student 5 6%
Other 24 28%
Unknown 25 29%
Readers by discipline Count As %
Social Sciences 8 9%
Business, Management and Accounting 6 7%
Computer Science 6 7%
Engineering 5 6%
Agricultural and Biological Sciences 4 5%
Other 24 28%
Unknown 32 38%