Output datasets from ML–assisted bibliometric workflow in African phytochemical metabolomics research

Output datasets from ML–assisted bibliometric workflow in African phytochemical metabolomics research

<p dir="ltr">This collection contains supplementary datasets generated during the machine learning–assisted bibliometric workflow for metabolomics and phytochemical research. The datasets represent sequential outputs derived from the integration and harmonisation of bibliographic met...

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Bibliographic Details
Main Author: Temitope Omogbene (18615415) (author)
Other Authors: Fikisiwe Gebashe (22458893) (author), Ibraheem Lawal (22458895) (author), Stephen Amoo (20149419) (author), Adeyemi O. Aremu (20478123) (author)
Published: 2025
Subjects:
Other biological sciences not elsewhere classified
Metabolomic chemistry
Medicinal and biomolecular chemistry not elsewhere classified
Data management and data science not elsewhere classified
Statistical data science
scientometrics.
Bibliometrix R package
Biblioshiny
rstudio shiny application
Scopus Multidisciplinary Journal
web of science core collection database
Dimensions database
Python (Computer program language)
Machine learning (ML) model
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