Tang Keyun, Wan Mengyao, Zhang Hanlin, Zhang Qing, Yang Qian, Chen Kang, Wang Naili, Zhang Di, Qiu Wenying, Ma Chao
Department of Human Anatomy, Histology and Embryology, Institute of Basic Medical Sciences, Neuroscience Center, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Eight-Year MD Program, Peking Union Medical College, Beijing, China.
Cell Tissue Bank. 2020 Dec;21(4):685-697. doi: 10.1007/s10561-020-09849-w. Epub 2020 Aug 6.
Many articles involving human brain banks have been published. Bibliometric analysis can determine the history of the development of research and future research trends in a specific field. Three independent researchers retrieved and reviewed articles from the Web of Science database using the following strategy: "TS = (((brain OR cerebral) AND (bank* OR biobank*)) OR brainbank*)." The top 100 most-cited articles were identified and listed in descending order by total citations. Web of Science was used to identify ten recent articles describing bank construction. GeenMedical ( https://www.geenmedical.com/ ) was used to identify ten recent articles from journals with an impact factor (IF) > 20. The top 100 most-cited articles citing human brain banks were published between 1991 and 2017. Fifty-two percent of the articles focused on a specific type of neurodegenerative disease, and 16% discussed the construction and development of human brain banks. Articles using brain tissue had more total and annual citations than those on bank construction. Ten articles with high IFs were published from 2017 to 2019, and they were primarily studies using novel research techniques such RNA sequencing and genome-wide association studies. Most studies were published in journals specializing in neurology or neuroscience such as Movement Disorders (10%), and had been conducted in the United States (52%) by neurologists (62%). The top 100 most-cited articles and recent publications citing human brain banks and their bibliometric characteristics were identified and analyzed, which may serve as a useful reference and pave the way for further research.
许多涉及人类脑库的文章已经发表。文献计量分析可以确定特定领域的研究发展历程和未来研究趋势。三名独立研究人员采用以下策略从科学网数据库中检索和筛选文章：“TS = (((脑 OR 大脑) AND (库* OR 生物样本库*)) OR 脑库*)”。确定了被引用次数最多的前100篇文章，并按总引用次数降序排列。利用科学网确定了十篇描述脑库建设的近期文章。利用GeenMedical（https://www.geenmedical.com/）确定了来自影响因子（IF）>20的期刊的十篇近期文章。引用人类脑库的被引用次数最多的前100篇文章发表于1991年至2017年之间。52%的文章聚焦于特定类型的神经退行性疾病，16%的文章讨论了人类脑库的建设与发展。使用脑组织的文章比关于脑库建设的文章有更多的总引用次数和年引用次数。2017年至2019年发表了十篇高影响因子文章，它们主要是使用RNA测序和全基因组关联研究等新型研究技术的研究。大多数研究发表在神经病学或神经科学专业期刊上，如《运动障碍》（占10%），并且是由美国的神经科医生（占62%）开展的。确定并分析了引用人类脑库的被引用次数最多的前100篇文章和近期出版物及其文献计量特征，这可能会成为有用的参考并为进一步研究铺平道路。
