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A bibliometric analysis of the Cheminformatics/QSAR literature (2000-2023) for predictive modeling in data science
Arkaprava Banerjee1, Kunal Roy2, Paola Gramatica3
1Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, 700 032, India.
Molecular Diversity
|December 5, 2024
Summary
This bibliometric analysis reveals key trends in Cheminformatics and Quantitative Structure-Activity Relationship (QSAR) research from 2000-2023. It identifies leading countries, institutions, and researchers, alongside evolving research content.
Area of Science:
- Cheminformatics
- Quantitative Structure-Activity Relationship (QSAR) studies
- Bibliometrics
Background:
- The field of Cheminformatics and QSAR has seen significant growth in the 21st century.
- Understanding publication trends, contributor impact, and research focus is crucial for strategic development.
- A comprehensive bibliometric analysis provides insights into the evolution and landscape of this scientific domain.
Purpose of the Study:
- To conduct a bibliometric analysis of Cheminformatics/QSAR publications from 2000 to 2023.
- To identify and rank top contributing countries, institutions, and researchers.
- To analyze the evolution of research content and identify emerging trends in the field.
Main Methods:
- A Scopus database search was performed in October 2024 using specific search criteria.
- Analysis included document counts per year, country/institute contributions, and researcher metrics (h-index, c-score, q-score).
- Content analysis of top-cited articles was performed and compared to pre-2000 publications.
Main Results:
- A total of 52,415 documents were identified.
- The study presents rankings of top countries, institutions, and the top 50 researchers in Cheminformatics/QSAR.
- Comparative analysis highlights shifts in research focus and content over time.
Conclusions:
- The bibliometric analysis provides a comprehensive overview of the Cheminformatics/QSAR research landscape.
- Key contributors and research trends are identified, offering valuable insights for future research directions.
- Limitations inherent to bibliometric studies are acknowledged.
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