Bibliometric Analysis of Lipidomics and Metabolomics in Human Disease, 2004-2024

Alejandro I. Trejo-Castro's dataset contains bibliometric and text-mining analysis results for 9,628 scientific articles on lipidomics and metabolomics from 2004 to 2024. The data was sourced from Scopus and validated against Web of Science and PubMed, identifying trends in journals, authors, countries, and research themes. The file was last updated on May 19, 2026.

Use Cases

• Mapping thematic evolution and keyword dynamics in omics research based on the bibliometric analysis described.
• Identifying leading journals, authors, and countries in lipidomics/metabolomics based on the publication rankings.
• Analyzing the growth of emerging topics like AI and multi-omics integration mentioned in the results.

Strengths

• Analysis is based on 9,628 harmonized articles, providing a substantial corpus.
• Data was validated through a multi-database comparative approach using Scopus, Web of Science, and PubMed.
• Covers a 20-year time range from 2004 to 2024, allowing for longitudinal trend analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 19.1 KB, indicating it likely contains summary statistics rather than the raw article corpus.

Provenance

Source

Alejandro I. Trejo-Castro via figshare.

Collection Method

Bibliometric and text-mining analysis of articles from Scopus, with validation searches in Web of Science and PubMed.

Time Range

2004 to 2024

Freshness

Last updated 2026-05-19 04:25:24; freshness should be verified.

Geography

Global, with leading contributions from the United States, China, and Europe.