A bibliometric analysis of the Cheminformatics/QSAR literature (2000-2023) for predictive modeling in data science using the SCOPUS database.
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| Title: | A bibliometric analysis of the Cheminformatics/QSAR literature (2000-2023) for predictive modeling in data science using the SCOPUS database. |
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| Authors: | Banerjee A; Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, 700 032, India., Roy K; Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, 700 032, India. kunal.roy@jadavpuruniversity.in., Gramatica P; QSAR Research Unit On Environmental Chemistry and Ecotoxicology, Department of Theoretical and Applied Sciences (DiSTA), University of Insubria, Varese, Italy. |
| Source: | Molecular diversity [Mol Divers] 2025 Aug; Vol. 29 (4), pp. 3703-3715. Date of Electronic Publication: 2024 Dec 05. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: ESCOM Science Publishers Country of Publication: Netherlands NLM ID: 9516534 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-501X (Electronic) Linking ISSN: 13811991 NLM ISO Abbreviation: Mol Divers Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1573-501X |
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| DOI: | 10.1007/s11030-024-11056-8 |
