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CRISPR/Cas的文献计量分析:疾病检测的潜在福尔摩斯

Bibliometric analysis on CRISPR/Cas: a potential Sherlock Holmes for disease detection.

作者信息

Kumar Sachan Rohan Samir, Choudhary Adarsh, Devgon Inderpal, Karnwal Arun, Al-Tawaha Abdel Rahman Mohammad Said, Malik Tabarak

机构信息

School of Bioengineering and Biosciences, Lovely Professional University, Phagwara, India.

Department of Biological Sciences, Al Hussein Bin Talal University, Ma'an, Jordan.

出版信息

Front Mol Biosci. 2024 Jul 11;11:1383268. doi: 10.3389/fmolb.2024.1383268. eCollection 2024.

DOI:10.3389/fmolb.2024.1383268
PMID:39055984
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11269658/
Abstract

CRISPR has revolutionized illness detection by using precision gene editing to identify specific sequences in recent years. Using the Scopus database, this study performs a comprehensive bibliometric analysis, looking at academic papers on CRISPR that were published between 1992 and 2023. After screening a dataset of 1407 articles using Zotero, trends in annual publishing, citation patterns, author affiliations, and keyword co-occurrence are revealed using analysis tools such as VOSviewer, RStudio, and MS Excel. According to the report, there was only one CRISPR publication in 1992. By 2017, there were a meager 64 papers. Nonetheless, there is a notable upsurge between 2018 and 2023. Leading nations involved in CRISPR-based illness detection research include Germany, the United States, China, India, and the United Kingdom. Chongqing University Three Gorges Hospital, Chongqing University Medical University, and Chongqing University Bioengineering College are a few of the top institutions. With the greatest publication numbers (1688 and 1616) and strong total link strengths (TLS) of 42 and 77, respectively, authors Liu, C., and Li, Y., stand out. The field with the greatest citation counts as of 2023 is Broughton's 2020 study on CRISPR-based SARS-CoV-2 detection in Nature Biotechnology, with 1598 citations. Biosensors and Bioelectronics comprise 14.99% of papers. Researchers, decision-makers, and interested parties can use this thorough summary to help them make well-informed decisions about future CRISPR-based disease detection studies.

摘要

近年来,CRISPR通过使用精确的基因编辑来识别特定序列,彻底改变了疾病检测方式。本研究利用Scopus数据库,对1992年至2023年间发表的关于CRISPR的学术论文进行了全面的文献计量分析。在使用Zotero筛选了1407篇文章的数据集后,使用VOSviewer、RStudio和MS Excel等分析工具揭示了年度发表趋势、引用模式、作者所属机构以及关键词共现情况。报告显示,1992年仅有一篇关于CRISPR的出版物。到2017年,仅有64篇论文。然而,在2018年至2023年间有显著的增长。参与基于CRISPR的疾病检测研究的主要国家包括德国、美国、中国、印度和英国。重庆大学三峡医院、重庆医科大学和重庆大学生物工程学院是一些顶尖机构。作者刘C.和李Y.脱颖而出,他们的出版物数量最多(分别为1688篇和1616篇),总链接强度(TLS)分别为42和77。截至2023年,被引用次数最多的领域是布劳顿2020年在《自然·生物技术》上发表的关于基于CRISPR的新冠病毒检测的研究,被引用1598次。生物传感器和生物电子学领域的论文占14.99%。研究人员、决策者和相关方可以利用这份全面的总结,帮助他们对未来基于CRISPR的疾病检测研究做出明智的决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf1/11269658/a1d58d824d3a/fmolb-11-1383268-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf1/11269658/924e071d123b/fmolb-11-1383268-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf1/11269658/0de6038318da/fmolb-11-1383268-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf1/11269658/271c7135e23b/fmolb-11-1383268-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf1/11269658/a1d58d824d3a/fmolb-11-1383268-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf1/11269658/924e071d123b/fmolb-11-1383268-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf1/11269658/6083cb252c55/fmolb-11-1383268-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf1/11269658/c2a40825abc8/fmolb-11-1383268-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf1/11269658/f889ee4caf89/fmolb-11-1383268-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf1/11269658/0de6038318da/fmolb-11-1383268-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf1/11269658/271c7135e23b/fmolb-11-1383268-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4cf1/11269658/a1d58d824d3a/fmolb-11-1383268-g008.jpg

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