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

9,628 scientific articles from 2004 to 2024 were harmonized and analyzed to map the evolution of lipidomics and metabolomics. The analysis, conducted by Alejandro I. Trejo-Castro, identified a 32.6% annual growth rate in the field and leading topics like Alzheimer’s disease and breast cancer. Data was sourced from Scopus and validated against Web of Science and PubMed.

Use Cases

• Analyze publication trends and growth rates in omics research based on the 20-year time span and 32.6% annual growth rate mentioned.
• Identify leading authors, institutions, and countries in lipidomics/metabolomics based on the bibliometric indicators described.
• Map thematic evolution and emerging research topics like AI and multi-omics integration based on the keyword dynamics analysis.
• Validate bibliometric findings across multiple databases based on the described cross-database comparative approach.

Strengths

• Contains data from 9,628 harmonized scientific articles.
• Covers a 20-year time range from 2004 to 2024.
• Uses a multi-database validation 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 at 11.4 KB, indicating limited scope or highly summarized data.

Provenance

Source

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

Collection Method

Bibliometric and text-mining analysis using Bibliometrix, Scimago Graphica, OpenRefine, and custom R scripts.

Time Range

2004 to 2024

Freshness

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

Geography

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