Bibliometric data analysis is important for evaluating the performance and impact of researchers, journals, and institutions. There are several main software programs that are commonly used to analyze bibliometric data, each of which has its own strengths and limitations.
Bibliometrix is an R package that allows users to perform bibliometric analyses on large scientific databases, such as the Web of Science, Scopus, Dimensions, Cochrane, Lens.org and PubMed. It provides a suite of functions for data retrieval, cleaning, and analysis, including bibliometric indicators, co-citation and co-word networks, co-authorship analysis, and journal impact factors. Bibliometrix also has a web-app called Biblioshiny, which allows users with no coding skills to perform bibliometric analyses with a graphical user interface. (Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of informetrics, 11(4), 959-975.)
In this Video, we have discussed about how to plan and conduct Bibliometric Analysis research paper step-by step. The Video chapters are as follows:
0:00 Introduction
01:53 What is Bibliometric Analysis?
08:22 Bibliometrix: An R Tool for comprehensive science mapping analysis / Biblioshiny APP
10:17 Review of Bibliometric Analysis Research papers published in various journals
22:25 Bibliometric Analysis using Biblioshiny software: Step-by-step
22:41 How to Frame Research Questions for Bibliometric Analysis paper
27:55 Choose the techniques / tools of Bibliometric Analysis softwares
30:50 Research framework for writing Bibliometric Analysis paper (Search strategies, Data collection Methods, & Data analysis and reporting
53:40 Installation of Biblioshiny software (Video link: https://www.youtube.com/watch?v=fq8tKjDKzqg&t=327s)
54:40 Introduction of Biblioshiny software / R Studio features
1:00:00 Hands-on Practice on using Biblioshiny for writing Bibliometric Analysis paper
The Biblioshiny app enhances bibliometric research through several key features.
Firstly, it facilitates comprehensive data analysis by allowing researchers to evaluate various bibliometric indicators such as publication trends, citation counts, and author productivity across diverse fields, as demonstrated in studies on artificial intelligence and ESG factors
Secondly, Biblioshiny supports advanced visualization techniques, enabling users to create insightful graphical representations of data, which aids in identifying research hotspots and thematic trends, as seen in the analysis of metacognition and self-regulation
Additionally, it provides tools for mapping co-occurrence networks of keywords, which helps in understanding the relationships between different research topics, such as those found in collaborative governance studies
Lastly, the app's ability to handle large datasets from reputable databases like Scopus enhances its utility in tracking the evolution of specific research areas, such as Islamic auditing
Overall, Biblioshiny's multifaceted capabilities significantly contribute to the depth and clarity of bibliometric analyses. Link: https://typeset.io/questions/what-are-the-key-features-of-biblioshiny-app-that-enhance-1wlinx9i21