APP下载

载文量下降下单篇论文长度与被引次数关系研究

2021-01-15俞立平

现代情报 2021年1期

收稿日期:2020-01-23

基金项目:浙江省自然科学基金重点项目“制造业从数量型创新向质量型创新转型机制研究”(项目编号:Z21G030004);浙江省一流学科A类项目(浙江工商大学统计学,管理科学与工程)。

作者简介:俞立平(1967-),男,教授,博士,博士生导师,研究方向:技术经济、科技评价。

摘 要:[目的/意义]学科核心期刊载文量下降现象需要引起重视,有必要在此背景下分析论文篇幅与被引之间的关系。[方法/过程]本文提出篇幅影响因子的概念,采用普通回归与分位数回归,基于CNKI引文数据库,对CSSCI数据库收录的17 275篇经济学期刊进行了系统分析。[结果/结论]研究结果表明:学科期刊载文量下降现象需要引起足够的重视;篇幅影响因子与论文篇幅无关;论文篇幅与被引无关;关于论文篇幅与被引关系的研究方法有待改善;建议将载文量作为CSSCI评价指标。

关键词:载文量;论文篇幅;影响因子;被引频次

DOI:10.3969/j.issn.1008-0821.2021.01.016

〔中图分类号〕G302 〔文献标识码〕A 〔文章编号〕1008-0821(2021)01-0137-07

Research on the Relationship Between Paper Length and

Citation in the Background of the Volume of Publication Paper

Yu Liping

(School of Statistics and Mathematics,Zhejiang Gongshang University,Hangzhou 310018,China)

Abstract:[Purpose/Significance]It is necessary to pay attention to the phenomenon of the decline of the volume of publication paper of academic core journals,and it is necessary to analyze the relationship between the length of the paper and the citation in this context.[Method/Process]This paper put forward the concept of length impact factor,adopted general regression and quantile regression,and systematically analyzes 17275 economic journals included in CSSCI database based on CNKI citation database.[Result/Conclusion]The results showed:The phenomenon of the decline of the volume of publication paper of academic journals should be paid enough attention;The length impact factor had nothing to do with the length of the paper;The length of the paper has nothing to do with citations;The research method of the relation between the length of the paper and citation needed to be improved;It is suggested that the volume of publication paper should be taken as the evaluation index of CSSCI.

Key words:the volume of publication paper;paper length;impact factor;citation frequency

學术论文是知识和信息的重要载体,论文篇幅长短与知识信息量密切相关。然而不能简单用论文篇幅长短来表征知识和信息含量,这是个非常复杂的问题。进一步地,知识和信息量是难以计量的,所以人们往往通过论文的被引频次来间接评估论文的知识信息量,但这种研究只具有宏观意义,更适合用来评价期刊,即对单独的一篇论文而言,根本无法用被引频次来衡量其知识和信息量。在这种情况下,同行评议是一种相对有效的方法,但由于论文数量庞大,除了在期刊审稿中广泛应用外,同行评议不能用来从宏观角度评价论文的知识和信息量。……

登录APP查看全文