Bibliometric and Text-Mining Analysis of Lipidomics and Metabolomics, 2004-2024
by Alejandro I. Trejo-Castro·Updated 19d ago
1.1 MB1files
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Description
9,628 scientific articles from 2004 to 2024 were harmonized and analyzed using Bibliometrix, Scimago Graphica, OpenRefine, and custom R scripts. The dataset, created by Alejandro I. Trejo-Castro and last updated in May 2026, provides a bibliometric overview of lipidomics and metabolomics research in human diseases. It identifies productive journals, authors, countries, and thematic trends, with cross-validation from Web of Science and PubMed.
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 countries and institutions in the field based on the reported rankings of the United States, China, and European contributors
Trace the evolution of core and emerging research topics like Alzheimer's disease and AI integration based on the described thematic analysis
Strengths
Analysis is based on 9,628 harmonized articles, providing a substantial corpus for study
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 for specific analytical tasks
The 1.1 MB file size suggests the dataset is relatively small, potentially containing summary statistics rather than the full article corpus
Provenance
Source
Scientific articles indexed in Scopus, with equivalent searches in Web of Science Core Collection and PubMed.
Collection Method
Articles were harmonized and analyzed using Bibliometrix, Scimago Graphica, OpenRefine, and custom R scripts for bibliometric and text-mining.
Time Range
2004 to 2024
Freshness
Last updated 2026-05-19 04:25:19; freshness should be verified
Geography
Global, with specific mention of leading contributions from the United States, China, and Europe.
Data is provided in a DOCX file format, which may require conversion or specific tools for programmatic analysis.