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BMC Infectious Diseases Biomed Central BMC Infectious Diseases BioMed Central Correspondence Open Access Mapping the history and current situation of research on John Cunningham virus – a bibliometric analysis Hua-chuan Zheng*1, Lei Yan2, Lei Cui2, Yi-fu Guan1 and Yasuo Takano3 Address: 1Department of Biochemistry and Molecular Biology, College of Basic Medicine, China Medical University, Shenyang, PR China, 2Department of Medical Informatics and Information System, China Medical University, Shenyang, PR China and 3Department of Diagnostic Pathology, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama, Japan Email: Hua-chuan Zheng* - zheng_huachuan@hotmail.com; Lei Yan - yanlei1@hotmail.com; Lei Cui - zilu85@hotmail.com; Yi- fu Guan - yfguan@mail.cmu.edu.cn; Yasuo Takano - ytakano@med.u-toyama.ac.jp * Corresponding author Published: 11 March 2009 Received: 1 July 2008 Accepted: 11 March 2009 BMC Infectious Diseases 2009, 9:28 doi:10.1186/1471-2334-9-28 This article is available from: http://www.biomedcentral.com/1471-2334/9/28 © 2009 Zheng et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Background: John Cunningham virus (JCV) constitutes a family of polyoma viruses, which plays important roles in the progressive multifocal leukoencephalopathy (PML) and tumorigenesis. However, no bibliometric investigation has been reported to guide the researchers and potential readers. Methods: Papers were collected from database Sci-expanded and Pubmed until May 22, 2008. The highly-productive authors, institutes and countries, highly-cited authors and journals were ranked. The highly-cited articles were subjected to co-citation and chronological analysis with highly- frequent MeSH words for co-occurrence analysis. Results: Until now, 1785 articles about JCV were indexed in Sci-expanded and 1506 in Pubmed. The main document type was original article. USA, Japan and Italy were the largest three producers about JCV. Temple University published 128 papers and ranked the top, followed by University of Tokyo. Khalili K and Yogo Y became the core authors due to more than 20 documents produced. Journal of Neurovirology published more than 15 papers and ranked the top. Padgett BL and Berger JR were the first two highly-cited authors. Journal of Virology and Journal of Neurovirology respectively ranked to the first two highly-cited journals. These top highly-cited articles were divided into 5 aspects: (1) The correlation between JC virus and tumors; (2) Causal correlation of JCV with PML; (3) Polyoma virus infection and its related diseases in renal-allograft recipients; (4) Detection of JCV antibody, oncogene and its encoding protein; (5) Genetics and molecular biology of JCV. The MeSH/subheadings were classified into five groups: (1) JCV and virus infectious diseases; (2) JCV pathogenicity and pathological appearance of PML; (3) JCV isolation and detection; (4) Immunology of JCV and PML; (5) JCV genetics and tumors. Conclusion: JCV investigation mainly focused on its isolation and detection, as well as its correlation with PML and tumors. Establishment of transgenic animal model using JCV T antigen would be a hopeful and useful project in the further study. Page 1 of 12 (page number not for citation purposes) BMC Infectious Diseases 2009, 9:28 http://www.biomedcentral.com/1471-2334/9/28 Background citation analysis (in which two papers are cited together in John Cunningham virus (JCV) constitutes a family of a paper) can indicate a strong conceptual relationship polyoma viruses, which contain small, circular and dou- between the studies. On the other hand, PubMed indexes ble-stranded DNA genomes. The early region is alterna- journal articles using MeSH terms, which constitute a the- tively spliced to produce large T antigen and small t antigen saurus that embodies all the concepts appearing in the [1]. T antigen, a large nuclear phosphoprotein for viral medical literature and are arranged in a hierarchical, tree- DNA replication, binds to viral replication region to pro- like structure by subject categories. Associated with MeSH mote the unwinding of double helix and recruitment of is a list of corresponding subheadings to enhance the cell proteins that are required for DNA synthesis. The late focus of MeSH searches. The combination of MeSH terms region encodes the capsid structural protein VP1, VP2 and and subheadings can not only facilitate the sensitivity and VP3 due to alternative splicing and the small regulatory specificity of search, but also indicate the research con- protein known as agnoprotein [1,2]. VP proteins are tents and the relationship between papers [12-14]. If the essential to assemble with viral DNA to form virons. Sero- further co-occurrence cluster analysis of MeSH is applied logical studies have indicated an asymptomatic JCV infec- in some field, the close link between subtrees of the field tion in about 90% of the adult population, but it may be will be well established. activated under immunosuppressive conditions, leading to the lethal demyelinating disease, progressive multifocal In the present study, production and citation of JCV leukoencephalopathy (PML) [1-5]. Evidences from trans- research have been analyzed using such bibliometric genic and infectious animal models indicated that JCV methods as chronological, co-citation and co-occurrence could transform cells and cause various malignancies [6- analysis to explore the whole history, current status and 9]. In recent years, links have been suggested between JCV frontier about JCV study. and various types of human cancers, including colorectal, prostate and esophageal cancers, brain tumors, bronchop- Methods ulmonary carcinoma and B cell lymphoma [1-9], pointing Data collection out its roles as oncovirus. However, no bibliometric inves- The bibliographic data were collected in the database of tigation has been reported to guide the researchers and the Institute for Scientific Information available on the potential readers. web (http://www.isiknowledge.com, Sci-expanded) and National Library of Medicine on the web (http:// Investigators in some fields commonly predict that deci- www.ncbi.nlm.nih.gov/sites/entrez, Pubmed) until May sion making for the following experiments, clinical prac- 22, 2008. The tile, author, address, source, references or tice and paper's submission should be based on the the US list of the papers were downloaded according to findings of scientific studies published in journals. the retrieval strategy of "JC virus OR John Cunningham Although scientific papers have provided useful and help- virus OR JCV OR JC polyomavirus OR JC polyoma virus" ful information to the readers, it is a little difficult to learn for Sci-expanded or Pubmed. about the history, status and future trend of some study field. The bibliometric method employs empiric data and Highly-produced and -cited analysis quantitative analysis to trace the core production or cita- Using Foxpro 5.0, Microsoft Excel, Bibliographic Item Co- tion, the content or quality of publications, and motiva- occurrence Mining System (BIOCOMS) provided by Cui tions of the researchers in the form of published literature Lei and Sci-expanded statistical system, we applied Sci- so that it proves to be a valid and reliable way to map expanded data to determine the document types, core external and internal features of a scientific field [10]. A authors, highly-produced institutes and countries. The ref- key assumption underpinning this method to catch erences were analyzed to clarify the distribution of highly- insight into the flow of knowledge is that investigation cited papers, authors and journals. The top MeSH/sub- papers represent knowledge produced by scientific heading words were collected from Pubmed and sub- research. Generally, academic productivity of individuals jected to statistical analysis for highly-frequent ones. or groups is measured by counting the number of publi- cations. The number of times that one work is cited is Cluster analysis viewed as a measure of research impact. That is, the more After their identification, the top 34 most-cited articles frequently a paper is cited, the higher its impact or quality were subjected to co-citation cluster analysis according to [10,11]. Examination of bibliometric information shows their co-citation times in one paper. The 48 highly-fre- the communication patterns of the investigation within quent MeSH/subheadings of all articles from Pubmed the field and the patterns of influence among different were studied using co-occurrence cluster analysis in term work. Authors who publish earlier and experience fre- of their co-existence times in one paper. In any cluster quent citations tend to accrue the number of citations analysis, the matrixes were built up according to co-cita- over time as Matthew effect describes. For example, co- tion or -occurrence times between the selected articles or Page 2 of 12 (page number not for citation purposes) BMC Infectious Diseases 2009, 9:28 http://www.biomedcentral.com/1471-2334/9/28 words. Then, the related matrixes were developed using and Stroke, USA respectively (Table 4). As shown in Table Ochiai index as previously described [15-18]. Finally, we 5, Journal of Neurovirology, Journal of Virology, Virology, employed the SPSS 10.0 software to
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