UNASSIGNED: The study employs a comprehensive methodological approach, including data collection from Scopus covering the period from 2002 to 2022. The data was cleaned and analyzed using bibliometric and network analysis techniques. Advanced natural language processing techniques, such as Latent Dirichlet Allocation and Jaccard distance measure, were used for TRL classification.
UNASSIGNED: The findings reveal a predominant contribution from Brazilian institutions and authors, with 1,850 publications analyzed. Key areas identified include Pharmacology, Toxicology, Pharmaceuticals, Medicine, and Biochemistry. The study also uncovers various collaborative networks and technological maturity levels, with a significant focus on early-stage development phases.
UNASSIGNED: The research concludes that Brazilian institutions, particularly those in the Amazon region, play a significant role in the scientific exploration and development of medicinal plants and herbal medicines. Despite this, countries like the USA were proportionally more productive in clinical trial research. The study underscores the potential of Brazil\'s rich biodiversity and traditional knowledge in the pharmaceutical industry, particularly for neglected diseases. It suggests the need for stronger research systems and international collaboration to leverage these resources for global health benefits.
■这项研究采用了全面的方法学方法,包括从Scopus收集的2002年至2022年期间的数据。使用文献计量和网络分析技术清理和分析数据。先进的自然语言处理技术,如潜在狄利克雷分配和雅卡德距离度量,用于TRL分类。
■研究结果揭示了巴西机构和作者的主要贡献,分析了1,850种出版物。确定的关键领域包括药理学,毒理学,制药,医学,和生物化学。该研究还揭示了各种合作网络和技术成熟度水平,重点放在早期开发阶段。
■研究得出的结论是,巴西的机构,特别是那些在亚马逊地区,在药用植物和草药的科学探索和开发中发挥着重要作用。尽管如此,像美国这样的国家在临床试验研究中的生产率更高。该研究强调了巴西丰富的生物多样性和传统知识在制药行业的潜力,尤其是被忽视的疾病。它表明需要更强大的研究系统和国际合作,以利用这些资源来实现全球健康利益。