A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants

被引:247
作者
Bornmann, Lutz [1 ]
Mutz, Ruediger [2 ]
Hug, Sven E. [2 ]
Daniel, Hans-Dieter [2 ,3 ]
机构
[1] Max Planck Gesell, D-80539 Munich, Germany
[2] ETH, CH-8092 Zurich, Switzerland
[3] Univ Zurich, Evaluat Off, CH-8001 Zurich, Switzerland
关键词
h index; h index variants; Meta-analysis; Multilevel analysis; HIRSCH-TYPE INDEXES; RANDOM-EFFECTS MODELS; IMPACT; METHODOLOGY; RESEARCHERS; SCIENTISTS; INDICATORS; SCIENCES; FIELDS;
D O I
10.1016/j.joi.2011.01.006
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents the first meta-analysis of studies that computed correlations between the h index and variants of the h index (such as the g index; in total 37 different variants) that have been proposed and discussed in the literature. A high correlation between the h index and its variants would indicate that the h index variants hardly provide added information to the h index. This meta-analysis included 135 correlation coefficients from 32 studies. The studies were based on a total sample size of N = 9005; on average, each study had a sample size of n = 257. The results of a three-level cross-classified mixed-effects meta-analysis show a high correlation between the h index and its variants: Depending on the model, the mean correlation coefficient varies between 8 and 9. This means that there is redundancy between most of the h index variants and the h index. There is a statistically significant study-to-study variation of the correlation coefficients in the information they yield. The lowest correlation coefficients with the h index are found for the h index variants MII and m index. Hence, these h index variants make a non-redundant contribution to the h index. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:346 / 359
页数:14
相关论文
共 99 条
[1]   hg-index: a new index to characterize the scientific output of researchers based on the h- and g-indices [J].
Alonso, S. ;
Cabrerizo, F. J. ;
Herrera-Viedma, E. ;
Herrera, F. .
SCIENTOMETRICS, 2010, 82 (02) :391-400
[2]   h-Index: A review focused in its variants, computation and standardization for different scientific fields [J].
Alonso, S. ;
Cabrerizo, F. J. ;
Herrera-Viedma, E. ;
Herrera, F. .
JOURNAL OF INFORMETRICS, 2009, 3 (04) :273-289
[3]   Beyond the Durfee square: Enhancing the h-index to score total publication output [J].
Anderson, Thomas R. ;
Hankin, Robin K. S. ;
Killworth, Peter D. .
SCIENTOMETRICS, 2008, 76 (03) :577-588
[4]  
[Anonymous], CYBERMETRICS
[5]  
[Anonymous], 2006, ISSI Newslett, DOI DOI 10.1177/01655515211014478
[6]  
[Anonymous], 2006, Sci Focus, DOI DOI 10.1209/0295-5075/78/30002
[7]  
[Anonymous], SAS MIXED MODELS
[8]  
[Anonymous], 1976, Educational Researcher, DOI [DOI 10.3102/0013189X005010003, DOI 10.2307/1174772, 10.3102/0013189x005010003, 10.2307/1174772ISSN0536-1036]
[9]  
[Anonymous], 2007, International Society for Scientometrics and Informetrics newsletter
[10]   Quantifying scholarly impact:: IQp versus the Hirsch h [J].
Antonakis, John ;
Lalive, Rafael .
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 2008, 59 (06) :956-969