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  • Book
    Ronald Rousseau, Leo Egghe, Raf Guns.
    Summary: "Becoming Metric-Wise: A Bibliometric Guide for Researchers aims to inform researchers about metrics so that they become aware of the evaluative techniques being applied to their scientific output. Understanding these concepts will help them during their funding initiatives, and in hiring and tenure. The book not only describes what indicators do (or are designed to do, which is not always the same thing), but also gives precise mathematical formulae so that indicators can be properly understood and evaluated. Metrics have become a critical issue in science, with widespread international discussion taking place on the subject across scientific journals and organizations. As researchers should know the publication-citation context, the mathematical formulae of indicators being used by evaluating committees and their consequences, and how such indicators might be misused, this book provides an ideal tome on the topic. Provides researchers with a detailed understanding of bibliometric indicators and their applications. Empowers researchers looking to understand the indicators relevant to their work and careers. Presents an informed and rounded picture of bibliometrics, including the strengths and shortcomings of particular indicators. Supplies the mathematics behind bibliometric indicators so they can be properly understood. Written by authors with longstanding expertise who are considered global leaders in the field of bibliometrics"-- Provided by publisher.

    Contents:
    Machine generated contents note: 1. Introduction
    1.1. Metrics in the Information Sciences
    1.2. Short Overview of Topics Studied in the Field of Informetrics
    1.3. Instruments
    1.4. Other Metrics and the Larger Picture
    1.5. Mathematical Terminology
    2. Scientific Research and Communication
    2.1. Knowledge and Scientific Research
    2.2. Scientific Discoveries
    2.3. Two-Tier Publication System
    2.4. Three-Tier Evaluation System
    3. Publishing in Scientific Journals
    3.1. Editorship and Peer Review
    3.2. Open Access (OA)
    3.3. Scientific Misconduct: Fraud, Plagiarism, Retraction and the Integrity of the Publication Record
    4. Statistics
    4.1. Introduction
    pt. A Descriptive Statistics
    4.2. Simple Representations
    4.3. Measures of Central Tendency
    4.4. Cumulative Distributions and the Quantile Function
    4.5. Measures of Statistical Dispersion
    4.6. Boxplot
    4.7. Scatterplots and Linear Regression
    4.8. Nonparametric Linear Regression
    4.9. Contingency Tables
    4.10. Lorenz Curve and the Gini Index
    4.11. Applications in Informetrics
    pt. B Inferential Statistics
    4.12. Normal Distribution
    4.13. Hypothesis Testing
    4.14. Concluding Remarks on Statistics
    5. Publication and Citation Analysis
    5.1. Publication and Citation Analysis: Definitions
    5.2. Citation Indices: Generalities
    5.3. Citing and Reasons to Cite
    5.4. Citation Classification Schemes
    5.5. Authors and Their Citation Environment
    5.6. Difficulties Related to Counting
    5.7. Note on Eponyms
    5.8. Ethics of Citing
    5.9. Citation Networks and the Mathematics of Citation
    5.10. Bibliographic Coupling and Cocitation Analysis
    5.11. Tri-citations
    5.12. Highly-Cited Documents Become Concept Symbols
    5.13. Citation Generations
    5.14. Delayed Recognition and Sleeping Beauties
    5.15. Short Description of the Web of Science
    5.16. Scopus
    5.17. Google Scholar (GS)
    5.18. Comparisons
    5.19. Final Remarks
    6. Journal Citation Analysis
    6.1. Scientific Journals
    6.2. Publication-Citation Matrix per Article
    6.3. Publication-Citation Matrix of a Journal and the Garfield-Sher (1963) Impact Factor: Introduction
    6.4. Synchronous Impact Factors
    6.5. Diachronous Impact Factors
    6.6. More on Publication-Citation Matrices and Impact Factors
    6.7. Remarks About Journal Impact Factors
    6.8. h-index for Journals
    6.9. Indicators That Take the Importance of the Citing Journal into Account
    6.10. Correlations Between Journal Indicators
    6.11. Audience Factor
    6.12. SNIP Indicator
    6.13. Clarivate Analytics' Journal Citation Reports
    6.14. Structure of the SCImago Database
    6.15. Problems Related to Impact Factors
    6.16. CiteScore Index
    6.17. Who Makes Use of Bibliometric Indicators?
    6.18. Ranking Journals
    6.19. Median Impact Factor
    6.20. Mathematical Properties of the Diachronous and the Synchronous Impact Factor
    6.21. Additional Information
    7. Indicators
    7.1. Introduction
    7.2. Collaboration and Collaboration Indices
    7.3. h-index
    7.4. Simple Variations on the h-index
    7.5. h-Type Indices That Take the Number of Received Citations by Highly Cited Publications into Account
    7.6. Some Other h-type Indices
    7.7. General Impact Factor
    7.8. Success Indices and Success Multipliers
    7.9. Percentile Rank Score and the Integrated Impact Indicator
    7.10. Citation Merit
    7.11. Time Series of Indicators
    7.12. Outgrow Index (CR Index) and Related Indices
    7.13. So's Openness and Affinity Indices
    7.14. Prathap's Thermodynamic Indicators
    7.15. Characteristic Scores and Scales
    7.16. Concluding Remarks
    8. Research Evaluation
    8.1. Introduction
    8.2. Leiden Manifesto
    8.3. University Evaluation
    8.4. University Rankings
    8.5. Evaluation of Research Groups
    8.6. Top x% Publications
    8.7. Country Studies
    8.8. Some Remarks on Evaluations of Individuals
    8.9. Paying Attention to the Social Sciences and Arts & Humanities
    8.10. How to Evaluate Top Labs: An Example From China
    8.11. Nature Index
    8.12. Reflections and Comments
    8.13. Further Remarks
    8.14. Conclusion
    9. Informetric Laws
    9.1. Introduction
    9.2. One-Dimensional Informetrics
    9.3. Two-Dimensional Informetrics
    9.4. Two Applications of Lotka's Law
    9.5. Measuring Inequality
    9.6. Measuring Diversity for a Variable Number of Cells
    10. Networks
    10.1. Basic Network Theory
    10.2. Network Indicators
    10.3. h-Indices in Networks
    10.4. Software for Network Analysis
    11. Timeline of Informetrics.
    Digital Access ScienceDirect 2018
  • Article
    Bazanov VA.
    Sov Zdravookhr. 1978(2):60-4.
    Digital Access Access Options