基于科学技术交叉的神经科学领域内新兴技术识别
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  • 英文篇名:Science and Technology interface-based identification of emerging technologies in neuroscience
  • 作者:李永洁 ; 杜建 ; 孙轶楠 ; 唐小利
  • 英文作者:LI Yong-jie;DU Jian;SUN Yi-nan;TANG Xiao-li;Institute of Medical Information,Chinese Academy of Medical Sciences;
  • 关键词:神经科学 ; 科学技术交叉 ; 专利耦合分析
  • 英文关键词:Neuroscience;;Science and technology interface;;Patent coupling analysis
  • 中文刊名:YXTS
  • 英文刊名:Chinese Journal of Medical Library and Information Science
  • 机构:中国医学科学院医学信息研究所;
  • 出版日期:2019-01-15
  • 出版单位:中华医学图书情报杂志
  • 年:2019
  • 期:v.28
  • 基金:中国医学科学院医学与健康科技创新工程“医学科技创新评价与卫生服务体系构建研究”(2016-I2M-3-018);; 国家社会科学基金项目“基于科学与技术交叉模型的创新前沿识别方法与应用研究”(18BTQ064)
  • 语种:中文;
  • 页:YXTS201901005
  • 页数:7
  • CN:01
  • ISSN:11-4745/R
  • 分类号:30-36
摘要
目的:识别神经科学新兴技术。方法:基于Web of Science数据库获取2013-2017近5年神经科学领域的ESI高被引论文,使用Lens.org构建专利-高被引论文引用映射关系,就科学技术交叉视角下探索神经科学领域内新兴技术识别。结果:基于高被引论文专利耦合分析得到22个、集合,涉及神经元活性的光遗传学探针研发、AD的特异性抗体研发、肌萎缩侧索硬化症的基因和药物治疗策略等,多数都涉及神经系统疾病的抗体靶向治疗。结论:基于科学与技术交叉模型,神经科学领域内的新兴技术可为新兴技术识别研究提供新视角,对抢占国际竞争的技术制高点具有重要意义。
        Objective To identify the emerging technologies in neuroscience. Methods The ESI highly-cited papers in 2013-2017 were retrieved from Web of Science. The citation mapping relationship between patents and highly-cited papers was established using Lens.org. The identification of emerging technologies in neuroscience was studied in view of science and technology interface. Results Patent coupling analysis showed 22 sets of patents in highly-cited papers,involving the R & D of optogenetic probes for detecting neuron activity,specific antibodies to AD,gene and drug treatment of amyotrophic lateral sclerosis,and antibody-targeted therapy for nervous system diseases.Conclusion Science and technology interface model can provide reference for the identification of researches on emerging technologies in neuroscience and are of great importance in racing to control the commanding point of technologies in international competition.
引文
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