Average-based versus high-and low-impact indicators for the evaluation of scientific distributions
Pedro Albarran () and
Ignacio Ortuño
Authors registered in the RePEc Author Service: Javier Ruiz-Castillo
UC3M Working papers. Economics from Universidad Carlos III de Madrid. Departamento de EconomÃa
Abstract:
Albarran et al. (2011a) introduced a novel methodology for the evaluation of citation distributions consisting of a pair of high- and a low-impact measures defined over the set of articles with citations below or above a critical citation level CCL. Albarran et al. (2011b) presented the first empirical applications to a situation in which the world citation distribution in 22 scientific fields is partitioned into three geographical areas: the U.S., the European Union, and the rest of the world. In this paper, we compare our results with those obtained with average-based indicators. For reasonable CCLs, such as the 80th percentile of the world citation distribution in each field, the cardinal differences between the results obtained with our high-impact index and the mean citation rate are of a large order of magnitude. When, in addition, the percentage in the top 5% of most cited articles or the percentage of uncited articles are used, there are still important quantitative differences with respect to the high- and low-impact indicators advocated in our approach when the CCL is fixed at the 80th or the 95th percentile.
Date: 2010-12
New Economics Papers: this item is included in nep-sog
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://e-archivo.uc3m.es/rest/api/core/bitstreams ... 114919943b56/content (application/pdf)
Related works:
Journal Article: Average-based versus high- and low-impact indicators for the evaluation of scientific distributions (2011) 
Working Paper: Average-based versus High- and Low-Impact Indicators for the Evaluation of Scientific Distributions (2010) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cte:werepe:we1040
Access Statistics for this paper
More papers in UC3M Working papers. Economics from Universidad Carlos III de Madrid. Departamento de EconomÃa
Bibliographic data for series maintained by Ana Poveda ().