Alejandro I. Trejo-Castro's analysis provides bibliometric and text-mining insights into lipidomics and metabolomics research from 2004 to 2024. The dataset likely contains quantitative trends and semantic mapping derived from 9,628 articles sourced from Scopus, Web of Science, and PubMed. It was last updated on May 19, 2026.
Use Cases
- Analyze publication trends and growth rates based on the reported annual growth rate of 32.6%
- Map thematic structures and keyword dynamics based on the semantic and conceptual mapping described
- Identify leading journals, authors, and countries based on the bibliometric indicators mentioned
- Track emerging research areas like AI and multi-omics integration based on the results section
Strengths
- Analysis spans 20 years (2004-2024), providing a long-term view
- Based on 9,628 harmonized articles from multiple databases (Scopus, Web of Science, PubMed)
- Integrates quantitative bibliometric trends with semantic mapping
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 small (254.5 KB), indicating limited scope or aggregated summary data
Provenance
- Source
- figshare, authored by Alejandro I. Trejo-Castro
- Collection Method
- Articles harmonized and analyzed using Bibliometrix, Scimago Graphica, OpenRefine, and custom R scripts
- Time Range
- 2004 to 2024
- Freshness
- Last updated 2026-05-19 04:25:26; freshness should be verified
- Geography
- Global, with leading contributions from the United States, China, and Europe