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Journal of library and information science in agriculture ›› 2017, Vol. 29 ›› Issue (11): 145-148.doi: 10.13998/j.cnki.issn1002-1248.2017.11.034

• Editing &Publishing • Previous Articles     Next Articles

Characteristic Factor Analysis of High Cited Papers Published in cientia Agricultura Sinica”

HUANG Xiujie, CHU Xialing, ZOU Yiguang, YANG Xianzhi   

  1. Editorial Department of Guangdong Agricultural Sciences, Institute of Agricultural Economics and Rural Development, Guangdong Academy of Agricultural Sciences, Guangdong Guangzhou 510640, China
  • Received:2017-04-05 Online:2017-11-05 Published:2017-11-29

Abstract: This paper aimed to analyze the characteristics of high cited papers of agricultural comprehensive journal, and provide reference for journal editors to select topics. Taking “Scientia Agricultura Sinica” as the research object, the annual distribution, citation frequency distribution, author analysis, subject type, citation year and citation type, of 323 highly cited papers published in 1990-2016 were analyzed, and the common laws were summarized. Results showed that, review papers accounted for a relatively small, only 7.1%. High cited papers generally were forward-looking research, hot issues, in-depth research and persistence research. Due to the technical level, scientific research conditions and other constraints, cited peak difference of high cited papers was great. The citation by master's thesis may affect the correct evaluation of a paper. The results indicated that the high cited papers published in “Scientia Agricultura Sinica” usually had significant research depth and theoretical breakthroughs, seized the key hot issues, and had a high degree of forward-looking in theory, and their authors were well-known scholars or industry authority. Thus, comprehensive agricultural journals can be targeted on the topic, improve the influence of academic journals.

Key words: Scientia Agricultura Sinica

CLC Number: 

  • G353.1
[1] 牛昱听,宗乾进,袁勤俭.开放存取论文下载与引用计量研究[J].中国图书馆学报,2012,(4):119-127.
[2] Pefim B C.On the objectives of citation analysis:Problems of theory and method [J].Journal of the American Society for Information Science,1992,43(6):448-451.
[3] Hirsch J E.An index to quantify all individuals scientific research output[J].Proceedings of the National Academy of Science,2005,102(46):16 569-16 572.
[4] Moed H F.The impact—factors debate:The ISI’s uses and limits [J].Nature,2002,415(15):731-732.
[5] 周晓英,董伟,朱小梅,等.图书馆学情报学高影响力论文特征及所反映的学科差异分析[J].中国图书馆学报,2012,(4):99-109.
[6] 屈清慧.30种药学期刊高被引论文研究[J].中国科技期刊研究,2008,19(6):984-989.
[7] Elizabeth S A.Cimtion patterns of highly cited papers and their relationship to literature aging:A study of the working literature [J].Scientometrics,1985,(7):383-389.
[8] Thomas A H,Ronald D F Jr.,Gerald G B.Assessing what distinguishes highly cited from less cited papers published in Interfaces[J].Interfaces,2010,40(6):454-456.
[9] 李晓红.2002—2012年中国化学类高被引论文分析[J].中国科技期刊研究,2014,(1):69-73.
[10] 卫世乾.30种化学类核心期刊高被引论文研究[J].中国科技期刊研究,2014(4):556-561.
[11] 陈芳.动物医学类期刊高被引论文分析及其对编辑选题组稿的启示[J].中国科技期刊研究,2012,(5):818-821.
[12] 方红玲.2003—2008年眼科学高被引论文统计分析[J].中国科技期刊研究,2010,(2):197-200.
[13] 刘雪立,王兆军.2004—2008年中国情报专题研究高被引论文的统计与分析[J].情报杂志,2010,(1):64-67.
[14] 张诗博.2004—2008年国内图书馆学研究高被引论文的统计与分析[J].情报科学,2011,(3):387-390.
[15] 常青.情报学研究高被引论文的特征分析[J].情报资料工作,2014,(4):100-102.
[16] 张晓丽,乐建鑫.《东南大学学报(自然科学版)》高被引论文特征分析及启示[J].中国科技期刊研究,2012,(6):1 008-1 012.
[17] 胡清华.《浙江大学学报(农业与生命科学版)》2002~2011年高被引论文特征分析及启示[J].中国科技期刊研究,2013,(4):699-702.
[18] 蒋实.《物探与化探》高被引论文分析[J].物探与化探,2015,(5):1094-1096.
[19] 张建合.《编辑学报》高被引论文分析[J].编辑学报,2010,(6):562-564.
[20] 李洁,雷波,曹艳,等.中国20种综合性农业科学核心期刊的高被引论文研究[J].中国科技期刊研究,2014,(1):74-78.
[21] 韩维栋,薛秦芬,王丽珍.挖掘高被引论文有利于提高科技期刊的学术影响力[J].中国科技期刊研究,2010,(4):514-518.
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