Average-based versus High- and Low-Impact Indicators for the Evaluation of Scientific Distributions
Albarrán et al. (2009a ) 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. Albarrán et al. (2009b ) 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.
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- Pedro Albarrán & Joan Crespo & Ignacio Ortuño & Javier Ruiz-Castillo, 2009. "A comparison of the scientific performance of the U. S. and the European Union at the turn of the XXI century," Economics Working Papers we095534, Universidad Carlos III, Departamento de Economía.
- Albarrán, Pedro & Ortuño, Ignacio & Ruiz-Castillo, Javier, 2011.
"The measurement of low- and high-impact in citation distributions: Technical results,"
Journal of Informetrics,
Elsevier, vol. 5(1), pages 48-63.
- Pedro Albarran & Ignacio Ortuno & Javier Ruiz-Castillo, 2009. "The measurement of low- and high-impact in citation distributions: technical results," Economics Working Papers we095735, Universidad Carlos III, Departamento de Economía.
- Albarrán, Pedro & Crespo, Juan A. & Ortuño-Ortín, Ignacio & Ruiz-Castillo, Javier, 2010.
"The Skewness of Science in 219 Sub-Fields and a Number of Aggregates,"
CEPR Discussion Papers
8126, C.E.P.R. Discussion Papers.
- Pedro Albarrán & Juan A. Crespo & Ignacio Ortuño & Javier Ruiz-Castillo, 2010. "The skewness of science in 219 sub-fields and a number of aggregates," Economics Working Papers we1038, Universidad Carlos III, Departamento de Economía.
- Pedro Albarrán & Juan A. Crespo & Ignacio Ortuño & Javier Ruiz-Castillo, 2011. "The skewness of science in 219 sub-fields and a number of aggregates," Economics Working Papers we1109, Universidad Carlos III, Departamento de Economía.
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