2014Research EvaluationOpen access

The impact of extreme observations in citation distributions

Yuelin Li, Javier Ruiz‐Castillo

Open full text 6 citations

Abstract

This article studies the role of extremely highly cited articles in two instances: the measurement of citation inequality and mean citation rates. Using a data set, acquired from Thomson Scientific, consisting of 4.4 million articles published in 1998–2003 in 22 broad fields with a 5-year citation window, the main results are the following. First, both within each of 22 broad fields and in the all-sciences case, citation inequality is strongly affected by the presence of a handful of extreme observations, particularly when it is measured by citation inequality indices that are very sensitive to citation differences in the upper tail of citation distributions. Second, the impact of extreme observations on citation averages is generally much smaller. The concluding section includes some practical lessons for students of citation inequality and/or users of high-impact indicators.

About this research paper

What this paper is about

This article studies the role of extremely highly cited articles in two instances: the measurement of citation inequality and mean citation rates. Using a data set, acquired from Thomson Scientific, consisting of 4.4 million articles published in 1998–2003 in 22 broad fields with a 5-year citation window, the main results are the following. First, both within each of 22 broad fields and in the all-sciences case, citation inequality is strongly affected by the presence of a handful of extreme observations, particularly when it is measured by citation inequality indices that are very sensitive to citation differences in the upper tail of citation distributions. Second, the impact of extreme observations on citation averages is generally much smaller. The concluding section includes some practical lessons for students of citation inequality and/or users of high-impact indicators.

Why it matters

OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This article studies the role of extremely highly cited articles in two instances: the measurement of citation inequality and mean citation rates. Using a data set, acquired from Thomson Scientific, consisting of 4.4 million articles published in 1998–2003 in 22 broad fields with a 5-year citation window, the main results are the following. First, both within each of 22 broad fields and in the all-sciences case, citation inequality is strongly affected by the presence of a handful of extreme observations, particularly when it is measured by citation inequality indices that are very sensitive to citation differences in the upper tail of citation distributions. Second, the impact of extreme observations on citation averages is generally much smaller. The concluding section includes some practical lessons for students of citation inequality and/or users of high-impact indicators.

Key concepts: Citation, Library science, Humanities, History, Political science, Computer science, Art

Related papers

Back to paper searchBrowse research topicsOriginal source
The impact of extreme observations in citation distributions — Research Paper | ScholarLens