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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.20089065 |
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Table of Contents:
- <h1>A Bibliometric and Text-Mining Analysis of Lipidomics and Metabolomics in Human Disease</h1> <p>The repository is intended to promote transparency, reproducibility, and reusability of bibliometric and text-mining workflows.</p> <h2>Contents</h2> <p>This repository contains the custom scripts written in the R programming language and the Python programming language, which were used to analyze the data described in the article. In addition, example data are included for the purpose of executing the corresponding scripts.</p> <h2>Repository</h2> <p>https://github.com/alextrejoc/Bibliometric_Lipidomics_Metabolomics_DiseaseDiagnosis</p> <h2>Citation</h2> <p>Trejo-Castro et al. (2026). A Bibliometric and Text-Mining Analysis of Lipidomics and Metabolomics in Human Disease. Frontiers in Physiology (Section: Lipid and Fatty Acid Research). DOI: [10.3389/fphys.2026.1727465].</p>