Global Inequalities in Anatomy-Related Medical Education Research
This repository contains the R analysis code and supplementary materials for the correspondence: "Anatomy Education Is Global, but Its Evidence Base Is Not".
Contents
src/code.R: R script used for cleaning the Scopus dataset, normalizing country names, and conducting the scientometric and bibliometric analysis (including Gini coefficient, Lorenz curve, and income group distribution).
Supplementary Material 1.docx: The Scopus search strategy and terms used for this study.
Supplementary Material 2.csv: Metadata of the articles retrieved from the Scopus search.
Overview of the Analysis
The provided R script (src/code.R) performs the following operations:
- Data Cleaning: Imports Scopus records and filters for relevant articles and reviews published after 1999.
- Author Country Extraction: Extracts and normalizes the first author's country of affiliation.
- Productivity Metrics: Calculates country productivity, generating a top 10 list of contributing countries.
- Inequality Analysis: Calculates the Gini coefficient and constructs a Lorenz curve to visualize the concentration of publications among represented countries.
- Income Groups Analysis: Integrates World Bank data to analyze publication output by country income groups (High vs. Low income).
- Focus Regions: Evaluates the contribution from specific regions (Latin America and Caribbean, Colombia, Africa, Southeast Asia).
- Visualization: Generates the main figure combining a bar chart of the top 10 contributing countries and the Lorenz curve.
Prerequisites
To run the analysis, you will need R installed along with the following packages:
tidyverse
janitor
countrycode
DescTools
WDI
patchwork
scales
The script automatically checks for and installs any missing packages before execution.