{"title":"某医院2013 - 2017年SCI论文统计分析","authors":"Xuejia Li, Cheng Jiang, Feizhe Xiao, Weiwei Zhang, Haifeng Lin, Zhanyong Chen, Zhuoqing Wang","doi":"10.3760/CMA.J.ISSN.1006-1924.2019.04.015","DOIUrl":null,"url":null,"abstract":"Objective \nThis article conducted the statistical analysis of SCI papers published during 2013-2017 at the first affiliated hospital of Sun Yat-sen university, to understand the SCI paper outcomes as to provide reference for future policy making and research administration development. \n \n \nMethods \nWe analyzed the SCI papers published by the First Affiliated Hospital of Sun Yat-sen University from 2013 to 2017. \"Article\" and \"Review\" type SCI papers published by the hospital as the first completion unit were statistically analyzed from the aspects of quantity, impact factors, journals and discipline distribution. \n \n \nResults \nA total of 2 268 SCI papers were published in 5 years, distributed in 1162 journals. The quantity and the average impact factor both increased year by year, but mainly concentrated in traditional dominant disciplines. \n \n \nConclusions \nThe SCI papers were increasing annually since 2013.However, we still need to improve the quantity and quality of high-level articles, to promote the development of disciplines, to strengthen the construction of public experimental platforms, to continue building talent teams, to improve the reward and evaluation system, and to further enhance the overall scientific research level of the hospital. \n \n \nKey words: \nSCI; Impact factor; Statistical analysis","PeriodicalId":59555,"journal":{"name":"中华医学科研管理杂志","volume":"32 1","pages":"303-306"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Statistical analysis of SCI papers in a particular hospital during 2013 and 2017\",\"authors\":\"Xuejia Li, Cheng Jiang, Feizhe Xiao, Weiwei Zhang, Haifeng Lin, Zhanyong Chen, Zhuoqing Wang\",\"doi\":\"10.3760/CMA.J.ISSN.1006-1924.2019.04.015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective \\nThis article conducted the statistical analysis of SCI papers published during 2013-2017 at the first affiliated hospital of Sun Yat-sen university, to understand the SCI paper outcomes as to provide reference for future policy making and research administration development. \\n \\n \\nMethods \\nWe analyzed the SCI papers published by the First Affiliated Hospital of Sun Yat-sen University from 2013 to 2017. \\\"Article\\\" and \\\"Review\\\" type SCI papers published by the hospital as the first completion unit were statistically analyzed from the aspects of quantity, impact factors, journals and discipline distribution. \\n \\n \\nResults \\nA total of 2 268 SCI papers were published in 5 years, distributed in 1162 journals. The quantity and the average impact factor both increased year by year, but mainly concentrated in traditional dominant disciplines. \\n \\n \\nConclusions \\nThe SCI papers were increasing annually since 2013.However, we still need to improve the quantity and quality of high-level articles, to promote the development of disciplines, to strengthen the construction of public experimental platforms, to continue building talent teams, to improve the reward and evaluation system, and to further enhance the overall scientific research level of the hospital. \\n \\n \\nKey words: \\nSCI; Impact factor; Statistical analysis\",\"PeriodicalId\":59555,\"journal\":{\"name\":\"中华医学科研管理杂志\",\"volume\":\"32 1\",\"pages\":\"303-306\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"中华医学科研管理杂志\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3760/CMA.J.ISSN.1006-1924.2019.04.015\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"中华医学科研管理杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3760/CMA.J.ISSN.1006-1924.2019.04.015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Statistical analysis of SCI papers in a particular hospital during 2013 and 2017
Objective
This article conducted the statistical analysis of SCI papers published during 2013-2017 at the first affiliated hospital of Sun Yat-sen university, to understand the SCI paper outcomes as to provide reference for future policy making and research administration development.
Methods
We analyzed the SCI papers published by the First Affiliated Hospital of Sun Yat-sen University from 2013 to 2017. "Article" and "Review" type SCI papers published by the hospital as the first completion unit were statistically analyzed from the aspects of quantity, impact factors, journals and discipline distribution.
Results
A total of 2 268 SCI papers were published in 5 years, distributed in 1162 journals. The quantity and the average impact factor both increased year by year, but mainly concentrated in traditional dominant disciplines.
Conclusions
The SCI papers were increasing annually since 2013.However, we still need to improve the quantity and quality of high-level articles, to promote the development of disciplines, to strengthen the construction of public experimental platforms, to continue building talent teams, to improve the reward and evaluation system, and to further enhance the overall scientific research level of the hospital.
Key words:
SCI; Impact factor; Statistical analysis
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