Bibliometric Analysis of Lipidomics and Metabolomics in Human Disease, 2004-2024
by Alejandro I. Trejo-Castro·Updated 19d ago
692.8 KB1files
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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 analysis, conducted by Alejandro I. Trejo-Castro, identifies productive journals, authors, countries, and thematic structures in lipidomics and metabolomics research. The field shows rapid expansion with an annual growth rate of 32.6%.
Use Cases
Analyze publication trends and growth rates in lipidomics and metabolomics based on the described 20-year time series.
Map thematic structures and keyword dynamics in biomedical literature based on the semantic and conceptual mapping approach described.
Identify leading countries, institutions, and authors in the field based on the bibliometric indicators calculated.
Study the evolution of analytical methodologies and emerging topics like AI and multi-omics integration based on the keyword analysis.
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.
The study covers a 20-year time range from 2004 to 2024, allowing for longitudinal trend analysis.
Limitations
The dataset is a 692.8 KB DOCX file, which is a small document rather than a large structured data repository.
Column-level documentation is absent; field semantics must be inferred from the document text after download.
The underlying raw article data is not directly provided, only the analysis results.
Provenance
Source
Scientific articles sourced from Scopus, with validation searches in Web of Science 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 04:25:23; freshness should be verified.
Geography
Global, with leading contributions from the United States, China, and Europe.
The primary data file is a DOCX document containing the analysis, not a structured data table.