使用芯片实验室设备进行早期癌症诊断:文献计量学和网络分析

IF 1.6 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE COLLNET Journal of Scientometrics and Information Management Pub Date : 2021-01-02 DOI:10.1080/09737766.2021.1949949
Luiza Amara Maciel Braga, Fabio Batista Mota
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引用次数: 1

摘要

在未来,癌症的早期诊断可能会使用labon-a-chip设备进行。然而,迄今为止所获得的研究,谁是领先的机构,以及他们如何合作,知之甚少。我们通过绘制早期癌症诊断和芯片实验室的全球研究来解决这一差距。本文采用文献计量学和网络分析法对2010年至2020年间发表的301篇Web of Science核心文集进行了数据分析。两种最常见的肿瘤标志物是前列腺特异性抗原和癌胚抗原;美国和中国是最相关的国家,中国科学院和麻省理工学院是最多的出版机构;他们还建立了最伟大的研究合作。本研究确定了芯片实验室肿瘤标志物识别的研究趋势,以及发表最多的国家和机构,可以为从事该研究课题的利益相关者提供帮助。
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Early cancer diagnosis using lab-on-a-chip devices : A bibliometric and network analysis
In the future, early diagnosis of cancers may be performed using labon-a-chip devices. Yet, very little is known about the research obtained so far, who are the leading institutions, and how they collaborate. We address this gap by mapping the global research on early cancer diagnosis and labs-on-a-chip. Bibliometrics and network analysis were applied to analyze data of 301 articles collected in the Web of Science Core Collection, published between 2010 and 2020. The two most frequent tumor markers are the prostate-specific antigen and the carcinoembryonic antigen; the USA and China are the most relevant countries, and the Chinese Academy of Sciences and the Massachusetts Institute of Technology are the most publishing institutions; they also established the greatest research collaborations. This study identifies research trends on lab-on-a-chip for tumor marker identification, and the most publishing countries and institutions, which can be helpful to stakeholders working on this research topic.
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来源期刊
COLLNET Journal of Scientometrics and Information Management
COLLNET Journal of Scientometrics and Information Management INFORMATION SCIENCE & LIBRARY SCIENCE-
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