Bibliometric and Text-Mining Analysis of Lipidomics and Metabolomics, 2004-2024

Alejandro I. Trejo-Castro's dataset provides a bibliometric and text-mining analysis of 9,628 scientific articles on lipidomics and metabolomics in human disease from 2004 to 2024. The data was harmonized and analyzed 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 based on the semantic and conceptual mapping approach described
• Identify leading journals, authors, and countries based on the bibliometric indicators used in the study
• Trace the methodological evolution of the field based on the analysis of analytical techniques like LC-MS and GC-MS

Strengths

• Analysis is based on 9,628 harmonized articles from Scopus, with cross-validation in Web of Science and PubMed.
• Covers a 20-year time range from 2004 to 2024, capturing long-term trends.
• Dataset is 14.7 MB in size, suggesting a detailed, structured analysis.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic or source bias inherent to the bibliographic databases used.

Provenance

Source

figshare, authored by Alejandro I. Trejo-Castro.

Collection Method

Bibliometric and text-mining analysis of scientific articles from Scopus, validated against Web of Science and PubMed.

Time Range

2004 to 2024

Freshness

Last updated 2026-05-19 04:25:26; freshness should be verified.

Geography

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