对使用SCOPUS数据库进行数据科学预测建模的化学信息学/QSAR文献 (2000-2023) 的文献分析
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
概括
本文献分析揭示了2000-2023年化学信息学和定量结构-活动关系 (QSAR) 研究的关键趋势. 它确定了领先的国家,机构和研究人员,以及不断发展的研究内容.
科学领域:
- 化学信息学 化学信息学
- 定量结构-活动关系 (QSAR) 研究研究.
- 图书统计学 图书统计学
背景情况:
- 化学信息学和QSAR领域在21世纪经历了显著的增长.
- 了解出版趋势,贡献者影响和研究重点对于战略发展至关重要.
- 一个全面的图书识别分析提供了关于这个科学领域的演变和景观的见解.
研究的目的:
- 对2000年至2023年期间的化学信息学/QSAR出版物进行文献计量分析.
- 识别和排名最有贡献的国家,机构和研究人员.
- 分析研究内容的演变,并确定该领域的新兴趋势.
主要方法:
- 在2024年10月使用特定搜索标准进行了Scopus数据库搜索.
- 分析包括每年的文档数量,国家/研究所贡献以及研究人员指标 (h-index,c-score,q-score).
- 对引用量最高的文章进行了内容分析,并与2000年以前的出版物进行了比较.
主要成果:
- 总共有52,415份文件被识别出来.
- 这项研究列出了顶级国家,机构和50位在化学信息学/QSAR领域的顶级研究人员的排名.
- 对比分析强调了随着时间的推移,研究重点和内容的变化.
结论:
- 文献计量分析提供了关于化学信息学/QSAR研究领域的全面概述.
- 确定了关键贡献者和研究趋势,为未来的研究方向提供了宝贵的见解.
- 我们承认,文献计量研究存在固有的局限性.
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