UNASSIGNED: The study utilized data from the EspaceNet and Lens databases for patents, and Web of Science (WoS) and Scopus for scientific publications. The final datasets included 651 relevant patents and 7173 peer-reviewed articles. Data were geocoded to assign country-level geographical coordinates and underwent multiple processing and cleaning steps using Python, Excel, R, and ArcGIS. Social network analysis (SNA) was conducted to assess collaboration patterns using Pajek and UCINET.
UNASSIGNED: Research activities in plant phenomics have increased significantly, with China emerging as a major player, filing nearly 70% of patents from 2010 to 2021. The U.S. and EU remain significant contributors, accounting for over half of the research output. The study identified around 50 global research hubs, mainly in the U.S. (36%), Western Europe (34%), and China (16%). Collaboration networks have become more complex and interdisciplinary, reflecting a strategic approach to solving research challenges.
UNASSIGNED: The findings underscore the importance of global collaboration and technological advancement in plant phenomics. China\'s rise in patent filings highlights its growing influence, while the ongoing contributions from the U.S. and EU demonstrate their continued leadership. The development of complex collaborative networks emphasizes the scientific community\'s adaptive strategies to address multifaceted research issues. These insights are crucial for researchers, policymakers, and industry stakeholders aiming to innovate in agricultural practices and improve crop varieties.
■这项研究利用了来自EspaceNet和Lens数据库的专利数据,以及WebofScience(WoS)和Scopus的科学出版物。最终的数据集包括651项相关专利和7173篇同行评审文章。数据进行了地理编码以分配国家一级的地理坐标,并使用Python进行了多个处理和清理步骤,Excel,R,ArcGIS使用Pajek和UCINET进行社会网络分析(SNA)以评估协作模式。
■植物表型组学研究活动显著增加,随着中国成为一个主要参与者,从2010年到2021年,申请了近70%的专利。美国和欧盟仍然是重要的贡献者,占研究成果的一半以上。该研究确定了大约50个全球研究中心,主要在美国(36%),西欧(34%),中国(16%)。合作网络变得更加复杂和跨学科,反映了解决研究挑战的战略方法。
■这些发现强调了全球合作和技术进步在植物表型组学中的重要性。中国专利申请量的上升凸显了其日益增长的影响力,而美国和欧盟的持续贡献表明了他们的持续领导力。复杂协作网络的发展强调了科学界解决多方面研究问题的适应性策略。这些见解对研究人员至关重要,政策制定者,以及旨在创新农业实践和改善作物品种的行业利益相关者。