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Bibliometrics Analysis of the Scientific Publication of the Provincial Capital Cities CDC in China

机译:中国省会城市疾病预防控制中心科学出版的文献计量学分析

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Aims: To objectively evaluate the level of scientific research of Centers for Disease Control and Prevention (CDCs) of the provincial capital cities in China. Design??? To compare each capital city’s scientific research output in China, the authors used authoritative Chinese databases to retrieve scientific research literature published by the 31 Chinese provincial capital cities CDCs nationwide published between January 2007 and December 2011. Data were stored and analysed using NoteExpress2.0 software. Place and Duration of Study: Department of Medicineand the Centers for Disease Control and Prevention, between May 2012 and July 2012. Methodology: All the articles published by the CDCs of provincial capital cities between 2007 and 2011 were retrieved from scientific literature databases. Data were stored and analysed in NoteExpress2.0 reference management analysis software. Bibliometric methods were used to statistically analyze the data. We developed an Overall influence index (∑IFN) which combined the number of published papers and the impact factor for each one (IF) to derive an overall and objective index. Results: Overall 9,445 Chinese language and 202 English language papers fulfilled our inclusion criteria. A gradual upward trend in published literature of provincial capital cities CDC was observed between 2007 and 2011. The co-author rate was relatively high and the content of the journals was extensive. The Overall influence index of Beijing CDC is the highest (626.682),and Lasa CDC gets the lowest(1.354). Conclusion: The development of the level of scientific research is uneven in different areas. The ∑IFN index of the developed regions is higher, and that of western under developed region is lower.
机译:目的:客观评估中国省会城市疾病预防控制中心的科研水平。设计???为了比较中国每个省会城市的科研成果,作者使用权威的中文数据库检索了2007年1月至2011年12月在全国31个省会城市疾病预防控制中心发布的科学研究文献。使用NoteExpress2.0软件对数据进行存储和分析。研究的地点和持续时间:2012年5月至2012年7月,医学部和疾病控制与预防中心。方法:2007年至2011年,省会疾病预防控制中心发布的所有文章均来自科学文献数据库。在NoteExpress2.0参考管理分析软件中存储和分析数据。文献计量法用于统计分析数据。我们开发了总体影响指数(∑IFN),该指数将已发表论文的数量和每篇论文的影响因子(IF)结合在一起,得出总体和客观指标。结果:总共9,445篇中文语言和202篇英语语言论文符合我们的纳入标准。在2007年至2011年之间,省会城市疾病预防控制中心的出版文献呈逐步上升的趋势。合着率较高,期刊的内容广泛。北京疾病预防控制中心的总体影响指数最高(626.682),而拉萨疾病预防控制中心的最低(1.354)。结论:不同地区的科研水平发展不平衡。发达地区的∑IFN指数较高,而西部欠发达地区的∑IFN指数较低。

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