脑机接口的科学概况：十年期文献计量分析

Scientific profile of brain-computer interfaces: Bibliometric analysis in a 10-year period.

作者信息

Hu Kejia, Chen Chao, Meng Qingyao, Williams Ziv, Xu Wendong

机构信息

Department of Hand Surgery, Huashan Hospital, Fudan University, Shanghai 200040, China; Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA; MGH - HMS Center for Nervous System Repair; Harvard Medical School, Boston, MA, 02114, USA; Shanghai Key Laboratory of Peripheral Nerve and Microsurgery, Fudan University, Shanghai, 200040, China; Department of Hand and Upper Extremity Surgery, Jing'an District Central Hospital, Shanghai, 200040, China.

Department of Chemical and Biochemical engineering, Western University, London, Ontario, N6A3K7, Canada.

出版信息

Neurosci Lett. 2016 Dec 2;635:61-66. doi: 10.1016/j.neulet.2016.10.022. Epub 2016 Oct 14.

DOI:10.1016/j.neulet.2016.10.022

PMID:27751787

Abstract

BACKGROUND

With the tremendous advances in the field of brain-computer interfaces (BCI), the literature in this field has grown exponentially; examination of highly cited articles is a tool that can help identify outstanding scientific studies and landmark papers. This study examined the characteristics of 100 highly cited BCI papers over the past 10 years.

METHODS

The Web of Science was searched for highly cited papers related to BCI research published from 2006 to 2015. The top 100 highly cited articles were identified. The number of citations and countries, and the corresponding institutions, year of publication, study design, and research area were noted and analyzed.

RESULTS

The 100 highly cited articles had a mean of 137.1(SE: 15.38) citations. These articles were published in 45 high-impact journals, and mostly in TRANSACTIONS ON BIOMEDICAL ENGINEERING (n=14). Of the 100 articles, 72 were original articles and the rest were review articles. These articles came from 15 countries, with the USA contributing most of the highly cited articles (n=52). Fifty-seven institutions produced these 100 highly cited articles, led by Duke University (n=7).

CONCLUSIONS

This study provides a historical perspective on the progress in the field of BCI, allows recognition of the most influential reports, and provides useful information that can indicate areas requiring further investigation.

摘要

背景

随着脑机接口（BCI）领域的巨大进展，该领域的文献呈指数级增长；对高被引文章的审视是一种有助于识别杰出科学研究和标志性论文的工具。本研究考察了过去10年中100篇高被引BCI论文的特征。

方法

在科学网中搜索2006年至2015年发表的与BCI研究相关的高被引论文。确定了前100篇高被引文章。记录并分析了论文的被引次数、国家以及相应的机构、发表年份、研究设计和研究领域。

结果

这100篇高被引文章的平均被引次数为137.1（标准误：15.38）次。这些文章发表在45种高影响力期刊上，其中大多发表于《生物医学工程汇刊》（14篇）。在这100篇文章中，72篇为原创文章，其余为综述文章。这些文章来自15个国家，其中美国贡献的高被引文章最多（52篇）。这100篇高被引文章由57个机构产出，其中杜克大学发表的文章最多（7篇）。