Analytical workflow for Bibliometric analysis

Overview

This document describes the analytical workflow used for the manuscript:

Tracing the evolution of research on the psychosocial impact of polycystic ovary syndrome using bibliometric analysis

The bibliometric analyses were conducted using the Biblioshiny graphical user interface of the bibliometrix R package within R, rather than through a custom scripted workflow. As Biblioshiny is an interactive graphical interface, no extensive analytical R scripts were required. To facilitate reproducibility, this document records the software environment, analytical workflow, and methodological steps used to produce the results presented in the manuscript.

Software

#Install packages
install.packages("shiny")
install.packages("bibliometrix")

library(bibliometrix)

# Launch Biblioshiny
biblioshiny()

Analyses were conducted using:

• R
• bibliometrix package
• Biblioshiny graphical interface

Data preparation

The exported Scopus records in Bibtex format were imported directly into Biblioshiny. The dataset was screened according to the eligibility criteria described in the manuscript. No duplicate records were identified.

Bibliometric analyses

The following analyses were conducted using Biblioshiny.

Descriptive analysis

• Annual scientific production
• Annual citation trends
• Most relevant sources
• Most productive authors
• Most relevant affiliations
• Country productivity
• Most globally cited documents
• Most locally cited documents

Citation analysis

Citation indicators were generated using Biblioshiny, including:

• Global citations
• Local citations
• Most influential publications
• Most influential authors

Collaboration analysis

Collaboration analyses included:

• Country collaboration network
• International collaboration patterns
• Institutional collaborations (where applicable)

Keyword analysis

Keyword analyses included:

• Author keyword frequency
• Co-occurrence network
• Trending topics

Conceptual structure

Conceptual structure analyses were performed using Biblioshiny, including:

• Multiple Correspondence Analysis (MCA)
• Thematic mapping
• Thematic evolution

The thematic evolution analysis examined changes across predefined publication periods reported in the manuscript.

Figure Preparation

Figures generated by Biblioshiny were exported and incorporated into the manuscript.

Minor formatting adjustments (e.g., resizing and figure arrangement) were performed for manuscript presentation only and did not alter the analytical outputs.

Reproducibility

This OSF repository contains: Protocol for Bibliometric analysis, Analytical workflow in this file

Raw Scopus records cannot be redistributed due to Elsevier licensing restrictions.