The bibliometric analysis of EEGLAB software in the Web of Science indexed articles

Neuroscience informatics Pub Date : 2023-12-14 DOI:10.1016/j.neuri.2023.100154

Mohammad Fayaz

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引用次数: 0

Abstract

EEGLAB is one of the most famous software for processing, analyzing, and researching experiments that have Electroencephalography (EEG) datasets. Due to the numerous add-ins along with global, widespread communications and online free YouTube channel, its popularity increased every year. To address this phenomenon from a bibliographic perspective, we found 20,464 citations in Google Scholar since 8/27/2023. Then, only the Web of Science (WOS) articles were 12,700 that they were extracted. The results were analyzed with Bibliometrix package from CRAN R software. The time span of these articles is from 2004 to 2023 with 12,700 documents in 1,125 sources (journals, books, etc.), 29,125 authors, 19,062 author's keywords, 13,707 keywords PLUS, 279,617 references. The annual growth rate is 28.12%, international Co-authorship is 37.27%, Co-authors per document is 4.89 and the average citations per document is 22.51. The most relevant sources are Neuroimage, Frontiers in Human Neurosciences, Scientific Reports, Psychophysiology, and PLOS One with 780, 526, 446,425, and 371 articles, respectively. The most cited countries are the USA, Germany, and the United Kingdom with 93,093, 32,621, and 20,748 total citations, respectively. The ERPLAB, ADJUST, and ICLabel add-ins have the local to global citation ratios equal to 85.4%, 65.1%, and 78.2% respectively. The collaboration network university, trend topic plot of keyword plus, thematic map trigram word in abstract and co-citation network of published papers after 2018 are presented. EEGLAB is among the most cited MATLAB toolboxes in computational neuroscience. Many developed and developing countries use it in their research publications.

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科学网索引文章中 EEGLAB 软件的文献计量分析

EEGLAB 是处理、分析和研究脑电图（EEG）数据集实验的最著名软件之一。由于插件众多，加上全球范围内的广泛传播和在线免费 YouTube 频道，其受欢迎程度逐年上升。为了从文献学的角度探讨这一现象，我们在谷歌学术（Google Scholar）中找到了自 2023 年 8 月 27 日以来的 20,464 篇引文。然后，仅提取了 Web of Science（WOS）的 12 700 篇文章。我们使用 CRAN R 软件中的 Bibliometrix 软件包对结果进行了分析。这些文章的时间跨度为 2004 年至 2023 年，共有 1,125 个来源（期刊、书籍等）的 12,700 篇文献，29,125 位作者，19,062 个作者关键词，13,707 个关键词 PLUS，279,617 条参考文献。年增长率为 28.12%，国际合著率为 37.27%，每篇文献的合著者人数为 4.89 人，每篇文献的平均引用次数为 22.51 次。最相关的来源是《Neuroimage》、《Frontiers in Human Neurosciences》、《Scientific Reports》、《Psychophysiology》和《PLOS One》，分别有 780、526、446,425 和 371 篇文章。被引用最多的国家是美国、德国和英国，总引用次数分别为 93,093 次、32,621 次和 20,748 次。ERPLAB、ADJUST 和 ICLabel 附加组件的本地引用与全球引用比分别为 85.4%、65.1% 和 78.2%。展示了2018年后发表论文的合作网络大学、关键词加载的趋势主题图、摘要中的主题图三叉词以及共引网络。EEGLAB是计算神经科学领域被引用最多的MATLAB工具箱之一。许多发达国家和发展中国家都在其研究出版物中使用它。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Neuroscience informatics Surgery, Radiology and Imaging, Information Systems, Neurology, Artificial Intelligence, Computer Science Applications, Signal Processing, Critical Care and Intensive Care Medicine, Health Informatics, Clinical Neurology, Pathology and Medical Technology

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审稿时长

57 days