Maternal-Fetal Antibiotic Dynamics in Suspected Chorioamnionitis: A Data Mining Study Using VOSviewer and R Package

AIMS/BACKGROUND: ) using bibliometric data mining tools to determine key research themes and trends. METHODS: This cross-sectional study, based on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines, was conducted using the Scopus data. A multistep data-mining protocol was employed to identify 1606 relevant articles from 2448 initial records, refined by filtering for language, document type, and publication year. VOSviewer (version 1.6.19) was utilised to map the co-authorship and co-citation networks, and the total link strength (TLS) was calculated. To analyse the knowledge structure, thematic maps, and trends, Bibliometrix (version 4.1.4) was used. Bibliometric indices (g-, m-, and h-indices) were utilised to evaluate researcher productivity and impact, providing insights into research contributions and influence. RESULTS: research themes focus on chorioamnionitis, antibiotic efficacy, preterm birth, neonatal outcomes, maternal morbidity, diagnostic innovations, and emerging trends. CONCLUSION: research.