Lecture 1 - Introduction to Science Communication
Lecture 2 - Channels of Science Communication
Lecture 3 - Open Science and Open Access
Lecture 4 - Open Research Data and Open Peer Review
Lecture 5 - Overview of Tools for Maximizing Academic Visibility and Impact of Research Output
Lecture 6 - Understanding Research Metrices: Author, Journal and Article Level Metrices
Lecture 7 - Abstract and Citation Database Scopus
Lecture 8 - Abstract and Citation Database: Web of Science
Lecture 9 - Health Science Database: PubMed
Lecture 10 - Free Academic Search Engine: Google Scholar
Lecture 11 - Installation of R
Lecture 12 - Installation of RStudio
Lecture 13 - Object and different types
Lecture 14 - Vector and Data Frame
Lecture 15 - Lists, Matrices, Factor, Array
Lecture 16 - Packages and Help
Lecture 17 - Science communication and different metrices
Lecture 18 - Lotka's law
Lecture 19 - Bradford's law
Lecture 20 - Zipf's Law
Lecture 21 - Descriptive Analysis - I
Lecture 22 - Descriptive Analysis - II
Lecture 23 - Descriptive Analysis - III
Lecture 24 - Analysis of Bradford and Lotka Law
Lecture 25 - Science Mapping - I
Lecture 26 - Science Mapping - II
Lecture 27 - Data Visualization: An overview, history and skills for researchers
Lecture 28 - Data Visualization: Types, tools and technologies
Lecture 29 - Visualization of Scientific Research Patterns and Trends with VOSviewer and CiteSpace
Lecture 30 - Text Mining - Introduction
Lecture 31 - Regular Expression
Lecture 32 - Text Pre-processing
Lecture 33 - Topic Modeling
Lecture 34 - THE, QS, Sanghai (ARWU) and (NIRF) Ranking
Lecture 35 - Academic Integrity and Ethical Guidelines in Science Communication
Lecture 36 - IPR/Copyright Issues and Practices in Print and Digital Environment
Lecture 37 - Predatory Publishing: Issues, Challenges and the Road Ahead
Lecture 38 - Case Study #1 Subject Domain
Lecture 39 - Case Study #2 Author
Lecture 40 - Case Study #3 Journal and Institution
