期刊文献+

药物性肾损伤研究文献的可视化分析 被引量:5

Visualization Analysis of the Literatures on Drug-induced Kidney Injury
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摘要 目的:研究药物性肾损伤(DIKI)的研究现状、热点和发展趋势,为我国DIKI的相关研究提供参考。方法:检索Web of Science数据库中发表于2001-2020年的DIKI相关文献,采用CiteSpace 5.7.R2软件对DIKI研究的发文量、作者和被引作者、机构、国家、相关学科领域、期刊共被引、文献共被引及关键词进行可视化分析。结果:共纳入文献1320篇,2001-2020年DIKI研究的发文量整体呈上升趋势;发文量和被引频次最多的是耶鲁大学的Mark A Perazella(发文量为18篇,被引频次为137次);开展该领域研究的国家有76个,其中美国占领先优势(445篇,占总发文量的34.29%);参与该领域研究的机构共2175个,其中美国耶鲁大学的发文量最多;涉及该领域研究的相关学科领域有药理学、肾脏病学、毒理学等;发表该领域研究最多的期刊为Kidney International(652篇,美国);共被引频次最高的文献是Tiong等在2014年发表的“Drug-induced nephrotoxicity:clinical impact and preclinical in vitro models”;通过关键词聚类分析得到该领域研究热点主要集中在DIKI相关危险因素研究、DIKI在特殊群体中的研究、DIKI相关药物作用机制研究、DIKI生物标志物的探索、DIKI临床前研究等5个方面。结论:DIKI研究日趋受到学者重视,但我国在该研究领域与其他国家合作有限。未来我国可多关注该领域的研究热点,并加强在国际上的交流与合作。 OBJECTIVE:To study the research status,hotspots and frontier changes of drug-induced kidney injury(DIKI),and to provide reference for the research of DIKI in China.METHODS:Literatures related to DIKI published from 2001 to 2020 were retrieved from Web of Science database.CiteSpace 5.7.R2 software was used to conduct visualization analysis for DIKI related literatures from aspects of the number of publications,authors and cited authors,institutions,countries,related disciplines,co-cited journals,co-cited literatures and keywords.RESULTS:A total of 1320 literatures were included,and the number of published literatures about DIKI researches showed an upward trend during 2001-2020.The most studies and the highest co-citations were devoted by the Yale University scholar Mark A Perazella(18 literatures,cited for 137 times).There were 76 countries carrying out research in this field,among which the United States had the first advantage(445 literatures,accounting for 34.29%of the total number of literatures).A total of 2175 institutions participated in this field,of which Yale University contributed the most publications;pharmacology,nephrology,toxicology and other related disciplines were involved in this field;Kidney International(652 literatures,USA)published the most research in this field;the most frequently cited literature was“Druginduced nephrotoxicity:clinical impact and preclinical in vitro models”,published by Tiong et al in 2014.Through the keyword cluster analysis,the research hotspots in this field mainly focused on the risk factors of DIKI,the research of DIKI in special groups,the mechanism of DIKI related drugs,the exploration of DIKI biomarkers,and the preclinical research of DIKI.CONCLUSIONS:DIKI’s research has been paid more and more attention by scholars,but the cooperation between China and other countries in this field is limited.In the future,more attention should be paid to the research hotspot in this field and international exchanges and cooperation should be strengthened.
作者 赵院霞 楚尧娟 卢晓静 史香芬 杜书章 ZHAO Yuanxia;CHU Yaojuan;LU Xiaojing;SHI Xiangfen;DU Shuzhang(Dept.of Pharmacy,the First Affiliated Hospital of Zhengzhou University,Zhengzhou 450052,China)
出处 《中国药房》 CAS 北大核心 2021年第15期1818-1824,共7页 China Pharmacy
基金 国家重点研发计划精准医学研究重点专项(No.2017YFC0909900)。
关键词 药物性肾损伤 可视化分析 研究热点 国际合作 Drug-induced kidney injury Visualization analysis Research hotspot International cooperation
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  • 1刘则渊.科学学理论体系建构的思考——基于科学计量学的中外科学学进展研究报告[J].科学学研究,2006,24(1):1-11. 被引量:56
  • 2刘泽渊.科学知识图谱方法与应用[M].北京:人民出版社,2008,41-86.
  • 3Chao mei Chen's Homepage [EB/OL].http://cluster.cis. drexel.edu/-cchen/citespace/,2011-10-11.
  • 4侯剑华,刘泽渊.纳米技术研究前沿及其演化的可视化分析[J].科技政策与管理,2009,(5):23-30.
  • 5Rui Y, Huang TS, Ortega M, Mehrotra S. Relevance feedback: A power tool for interactive content-based image retrieval [C]//IEEE T CIRC SYST VID,1998.
  • 6Rui Y , Huang TS, Chang SF. Image retrieval: Current techniques, promising directions, and open issues [J]. J VIS COMMUN IMAGE R,1999,(10):39-62.
  • 7Barnard K,Duygulu P, Forsyth D,et al. Matching words and pictures[J].J MACH LEARN RES, 2003,(3): 1107-1135.
  • 8Chang E,Goh K,Sychay G,et al. CBSA: Content-based soft annotation for muhimodal image retrieval using Bayes point machines[C]//IEEE T CIRC SYST VID,2003.
  • 9Cameiro G, Chan AB ,Moreno PJ ,et al. Supervised learning of semantic classes for image annotation and retrieval[C]// IEEE T PATTERN ANAL,2007.
  • 10Smeulders, AWM, Worring M, Santini S,et al. Con- tent-based image retrieval at the end of the early years[C]// IEEE T PATTERN ANAL,2000.

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