Trends and Developments in the Detection of Pathogens in Central Nervous System Infections: A Bibliometric Study.
Trends and Developments in the Detection of Pathogens in Central Nervous System Infections: A Bibliometric Study.
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DOI：
10.3389/fcimb.2022.856845
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发表时间：
2022
影响因子：
5.7
通讯作者：
中科院分区：
文献类型：
--
作者：
快速、灵敏和特异的实验室检测对于中枢神经系统（CNS）感染的诊断和管理至关重要。本研究的目的是探讨研究CNS感染患者病原体检测方法的知识景观，并确定该领域的发展趋势和研究前沿。通过分析2000年至2021年Web of Science（WoS）核心馆藏数据库中检索到的文献，进行了文献计量学研究。CiteSpace软件用于文献计量分析和网络可视化，包括参考文献的共引分析，关键词的共现分析以及作者，机构和国家/地区的合作网络分析。最终共筛选了2 282份出版物，每年出版物的数量呈上升趋势。大部分论文属于微生物学、感染性疾病、免疫学、神经科学和神经学以及病毒学等学科。文献共被引分析表明，近年来的研究主要集中在最大的集群“宏基因组下一代测序”上;对最高被引出版物和出版物被引爆发的分析结果表明，人们对宏基因组下一代测序产生了浓厚的兴趣。关键词共现分析表明，“感染”、“病原体”、“诊断”、“基因”、“病毒”、“聚合酶链反应”、“脑脊液”、“流行病学”、“宏基因组下一代测序”是CNS感染病原体检测领域的主要研究重点，爆发强度最高的关键词为“宏基因组下一代测序”。合作网络分析显示，美国、美国疾病控制和预防中心、王欣和JENNIFER DIEN BARD分别是最有影响力的国家、机构和研究人员。探索更先进的实验室检测方法以提高病原体诊断的准确性对于CNS感染研究至关重要。新一代宏基因组测序是一种新的有用的诊断CNS感染性疾病的无偏方法。
Rapid, sensitive, and specific laboratory assays are critical for the diagnosis and management of central nervous system (CNS) infections. The purpose of this study is to explore the intellectual landscape of research investigating methods for the detection of pathogens in patients with CNS infections and to identify the development trends and research frontier in this field. A bibliometric study is conducted by analyzing literature retrieved from the Web of Science (WoS) Core Collection Database for the years 2000 to 2021. CiteSpace software is used for bibliometric analysis and network visualization, including co-citation analysis of references, co-occurrence analysis of keywords, and cooperation network analysis of authors, institutions, and countries/regions. A total of 2,282 publications are eventually screened, with an upward trend in the number of publications per year. The majority of papers are attributed to the disciplines of MICROBIOLOGY, INFECTIOUS DISEASES, IMMUNOLOGY, NEUROSCIENCES & NEUROLOGY, and VIROLOGY. The co-citation analysis of references shows that recent research has focused on the largest cluster “metagenomic next-generation sequencing”; the results of the analysis of the highest-cited publications and the citation burst of publications reveal that there is a strong interest stimulated in metagenomic next-generation sequencing. The co-occurrence analysis of keywords indicates that “infection”, “pathogen”, “diagnosis”, “gene”, “virus”, “polymerase chain reaction”, “cerebrospinal fluid”, “epidemiology”, and “metagenomic next-generation sequencing” are the main research priorities in the field of pathogen detection for CNS infections, and the keyword with the highest strength of burst is “metagenomic next-generation sequencing”. Collaborative network analysis reveals that the USA, the Centers for Disease Control and Prevention of USA, and XIN WANG and JENNIFER DIEN BARD are the most influential country, institution, and researchers, respectively. Exploring more advanced laboratory assays to improve the diagnostic accuracy of pathogens is essential for CNS infection research. Metagenomic next-generation sequencing is emerging as a novel useful unbiased approach for diagnosing infectious diseases of the CNS.
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影响因子：
5.6
作者：
Chen, Shengqi;Bie, Ruixue;Hu, Hao
通讯作者：
Hu, Hao
影响因子：
3.7
作者：
Chen, Chaomei;Song, Min
通讯作者：
Song, Min
DOI：
10.1016/j.jinf.2017.12.014
发表时间：
2018-03
期刊：
The Journal of infection
影响因子：
--
作者：
Brown JR;Bharucha T;Breuer J
通讯作者：
Breuer J
影响因子：
12.3
作者：
Greninger AL;Messacar K;Dunnebacke T;Naccache SN;Federman S;Bouquet J;Mirsky D;Nomura Y;Yagi S;Glaser C;Vollmer M;Press CA;Kleinschmidt-DeMasters BK;Dominguez SR;Chiu CY
通讯作者：
Chiu CY
影响因子：
56.3
作者：
Granerod, Julia;Ambrose, Helen E.;Crowcroft, Natasha S.
通讯作者：
Crowcroft, Natasha S.