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The top 100 most-cited articles citing human brain banking from 1970 to 2020: a bibliometric analysis.
Cell and Tissue Banking ( IF 1.4 ) Pub Date : 2020-08-06 , DOI: 10.1007/s10561-020-09849-w
Keyun Tang 1, 2 , Mengyao Wan 1, 2 , Hanlin Zhang 1, 2 , Qing Zhang 1 , Qian Yang 1 , Kang Chen 1, 2 , Naili Wang 1, 3 , Di Zhang 1, 3 , Wenying Qiu 1 , Chao Ma 1, 4
Affiliation  

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.



中文翻译:

从 1970 年到 2020 年引用人类大脑银行的前 100 篇引用最多的文章:文献计量分析。

许多涉及人脑库的文章已经发表。文献计量分析可以确定特定领域研究的发展历史和未来的研究趋势。三位独立研究人员使用以下策略从 Web of Science 数据库中检索和审查文章:“TS = (((brain OR brain) AND (bank* OR biobank*)) OR brainbank*)。” 前 100 篇引用最多的文章被确定并按总引用次数降序列出。Web of Science 被用来确定最近十篇描述银行建设的文章。GeenMedical (https://www.geenmedical.com/) 用于从影响因子 (IF) > 20 的期刊中识别出 10 篇最近的文章。 1991 年至 2017 年间发表的引用人类大脑库的前 100 篇文章。52% 的文章关注特定类型的神经退行性疾病,16% 讨论了人类大脑库的构建和发展。使用脑组织的文章比银行建设的文章有更多的总引用和年度引用。2017-2019 年发表了 10 篇具有高 IF 的文章,主要是利用 RNA 测序和全基因组关联研究等新研究技术进行的研究。大多数研究发表在专门研究神经病学或神经科学的期刊上,例如 它们主要是使用新的研究技术进行研究,例如 RNA 测序和全基因组关联研究。大多数研究发表在专门研究神经病学或神经科学的期刊上,例如 它们主要是使用新的研究技术进行研究,例如 RNA 测序和全基因组关联研究。大多数研究发表在专门研究神经病学或神经科学的期刊上,例如运动障碍(10%),并由神经科医生 (62%) 在美国 (52%) 进行。对引用人类大脑库及其文献计量特征的前 100 篇被引用最多的文章和近期出版物进行了识别和分析,这些文章可以作为有用的参考,为进一步研究铺平道路。

更新日期:2020-08-06
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