Version 1.0 – A Bibliometric and Text-Mining Analysis of Lipidomics and Metabolomics in Human Disease

Fuente: Zenodo
Salvato in:
Dettagli Bibliografici
Autore principale: Trejo-Castro, Alejandro I.
Natura: Recurso digital
Pubblicazione: Zenodo 2026
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866901690305740800
author Trejo-Castro, Alejandro I.
author_facet Trejo-Castro, Alejandro I.
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>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_20089065
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Version 1.0 – A Bibliometric and Text-Mining Analysis of Lipidomics and Metabolomics in Human Disease
Trejo-Castro, Alejandro I.
<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>
title Version 1.0 – A Bibliometric and Text-Mining Analysis of Lipidomics and Metabolomics in Human Disease
url https://doi.org/10.5281/zenodo.20089065