Intro To Scholarly Data Metrics Theory Methods And Real World Applications For Research Analytics Bibliometrics And Information Science A Practical Easy To Follow Guide For Students And Pros

Scholarly Data Metrics: Theory and Real-World Analytics
✔️ Pack: single book, 1st ed (2017), English, 14 chapters.

This scholarly data metrics guide introduces informetrics concepts for researchers, students, and information science professionals. It is typically used in library science courses, information science programs, and research analytics workflows.

✅ 14 chapters covering theory, methods, and applications in informetrics
✅ Six basic laws and the theory basis of informetrics
✅ Quantitative analysis methods: citation analysis and computer-aided analysis
✅ Applications in information resource management, information and library science, science of science, scientific evaluation, and forecasting
✅ Webometrics development as a new field
✅ Language: English; Edition: 1st ed. 2017

💡 What is the practical purpose of a scholarly data metrics guide in research analytics?

This handy guide helps researchers apply informetrics principles to real-world analysis.

- Explains theories, methods, and applications for library and information science - Covers bibliometrics, citation analysis, and computer-aided methods in information science - Supports planning studies, evaluating scientific output, and forecasting trends in webometrics ✝️