情报研究

不同学科多属性评价横向比较研究——以数学、物理学、生物学期刊为例

  • 俞立平 ,
  • 张全 ,
  • 刘爱军
展开
  • 1. 宁波大学商学院;
    2. 沈阳工业大学信息科学与工程学院;
    3. 南京农业大学经济管理学院
俞立平,宁波大学商学院教授,博士;张全,沈阳工业大学信息科学与工程学院副教授,博士

收稿日期: 2014-07-07

  修回日期: 2014-09-01

  网络出版日期: 2014-10-30

基金资助

本文系浙江省自然科学基金项目“省际基础研究绩效的差距与形成机制研究”(项目编号:LY14G030005)和宁波大学人文社会科学培育项目“推进创新驱动发展的关键问题、影响机理与对策研究”(项目编号:XPYA13002)研究成果之一。

Laterally Comparative Research on Multiple Attributes Evaluation for Different Disciplines: Taking Academic Periodicals as an Example

  • Yu Liping ,
  • Zhang Quan ,
  • Liu Aijun
Expand
  • 1. Business School of Ningbo University, Ningbo 315211;
    2. College of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870;
    3. School of Economics and Management, Nanjing Agricultural University, Nanjing 210095

Received date: 2014-07-07

  Revised date: 2014-09-01

  Online published: 2014-10-30

摘要

针对跨学科难以比较的问题,提出综合比较、结合数据分布、横向比较3个原则,并且以TOPSIS法为例,在对其进行优化的基础上,提出采用多属性评价结果的标准分进行跨学科比较的思想。以JCR 2012中的数学、物理学、生物学期刊为例进行实证分析,研究结果表明:基于标准分进行跨学科个体评价是可行的,甚至可以应用于不同评价指标与不同评价方法的横向比较;进行跨学科评价的样本数量不宜过少;不同学科的总体水平难以比较。

本文引用格式

俞立平 , 张全 , 刘爱军 . 不同学科多属性评价横向比较研究——以数学、物理学、生物学期刊为例[J]. 图书情报工作, 2014 , 58(20) : 100 -105 . DOI: 10.13266/j.issn.0252-3116.2014.20.015

Abstract

It is difficult to compare cross-disciplinary research, three principles of integration comparison, Combined with data analysis and laterally comparative principles are provided. Taking TOPSIS method for example, on the basis of the optimization, a cross-disciplinary comparative idea for adopting standard score of multiple attributes evaluation outcomes is put forward. What's more, taking periodicals of CJR2012 math,physics, biology for examples, this paper conducts a positive analysis. The results show that cross-disciplinary evaluation based on standard score is feasible, and it can be even applied to laterally comparison for different evaluation indexes and different evaluation methods. The number of interdisciplinary evaluation sample size should not be too little, and it's hard to compare the overall level of different disciplines.

参考文献

[1] Zitt M, Rahary S R,Coulard E B. Relativity of citation performance and excellence measures: From cross-field to cross-scale effects of field-normalization[J]. Scientometrics,2005,63 (2): 373-401.

[2] Hirsch J E. An index to quantify an individual's scientific research output[J]. Proceedings of the National Academy of Sciences of the USA, 2005,102(46):16569-16572.

[3] 花芳. 学科基准化的科研绩效定量评价方法及指标研究[J]. 图书情报工作,2014,58(3):78-84.

[4] Schubert A, Glanzel W, Braun T. A new methodology for ranking scientific institutions[J]. Scientometrics,1987,12(5-6): 267-292.

[5] Van Raan A F J. The use of bibliometric analysis in research performance assessment and monitoring of interdisciplinary scientific developments[J]. Assessment Theory and Practice, 2003, 1(12):20-29.

[6] Radicchia F, Fortunato S, Castellano C. Universality of citation distributions: Toward an objective measure of scientific impact[J]. Proceedings of the National Academy of Sciences of the United Statesof America,2008,105 (45):17268-17272.

[7] Bornmann L, Daniel H. Universality of citation distributions-A validation of Radicchi et al. 's relative indicator Cf=C/Co at the micro level using data from chemistry[J]. Journal of the American Society for Information Science and Technology,2009,60(8):1664-1670.

[8] 蒋旭纯, 吴强. 基于hα指数的不同学科领域科研水平评价研究[J]. 科学学与科学技术管理,2014,35(2):46-54.

[9] 王卓青, 王丽萍, 卢姗,等. 基于影响因子对不同学科间论文评价方法的探索[J]. 科技与出版,2011(7):88-90.

[10] 金晶, 何苗, 王孝宁,等. 不同学科领域自然科学论文学术影响力评价与比较的可行性研究[J]. 科技管理研究,2010(14):279-284.

[11] 俞立平,武夷山. 学术期刊评价中标准分与原始分的比较研究——科技评价方法必须进行革命性改良[J]. 情报学报,2011,30(11): 1187-1193.

[12] 苏新宁. 客观全面评价期刊促进学术繁荣发展[J]. 情报资料工作,2009(4):25.

[13] Seglen P O. The skewness of science[J]. Journal of the American Society for Information Science,1992,43(9): 628-638.

[14] Vinkler P. Introducing the current contribution index for characterizing the recent, relevant impact of journals [J].Scientometrics,2008,79(2): 409-420.

[15] Adler R, Ewing J,Taylor P. Citation statistics[J]. Statistical Science, 2009,24(1): 1-26.

[16] Huang Chinglai,Yoon K. Multiattribute decision making: Methods and applications[M]. New York:Springer-Verlag,1981: 12-34.

[17] 俞立平, 潘云涛, 武夷山. 学术期刊综合评价数据标准化方法研究[J]. 图书情报工作,2009,53(12):136-139.

文章导航

/