Data Sheet 6_A bibliometric and text-mining analysis of lipidomics and metabolomics in hum

A bibliometric dataset of 9,628 scientific articles on lipidomics and metabolomics in human disease, spanning from 2004 to 2024. The data was harmonized and analyzed by Alejandro I. Trejo-Castro using Bibliometrix, Scimago Graphica, OpenRefine, and custom R scripts. It was last updated on 2026-05-19.

Use Cases

• Analyze publication trends and annual growth rates based on the 32.6% growth figure mentioned in the description.
• Map thematic structures and keyword dynamics across the field of lipidomics and metabolomics.
• Identify leading journals, authors, and countries in omics research based on the bibliometric indicators described.
• Trace the methodological evolution of the field, including the rise of AI and multi-omics integration.

Strengths

• Contains 9,628 harmonized articles providing a substantial corpus for analysis.
• Covers a 20-year time range (2004-2024) for longitudinal trend analysis.
• Data was validated through a multi-database comparative approach with Scopus, Web of Science, and PubMed.

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 (3.5 KB), suggesting it contains aggregated summary statistics rather than the raw article corpus.

Provenance

Source

Articles sourced from Scopus, with validation searches in Web of Science Core Collection and PubMed.

Collection Method

Harmonized and analyzed using Bibliometrix, Scimago Graphica, OpenRefine, and custom R scripts.

Time Range

2004 to 2024

Freshness

Last updated 2026-05-19 04:25:22; freshness should be verified.

Geography

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