Testing Differences Statistically with the Leiden Ranking
Loet Leydesdorff, Lutz Bornmann

TL;DR
This paper introduces a statistical testing method for comparing university rankings based on the Leiden Ranking's new indicator, PP top 10%, enabling significance testing of differences between ranks.
Contribution
It presents a novel statistical test for evaluating the significance of differences in university rankings using the PP top 10% indicator.
Findings
The method allows for significance testing of rank differences.
It provides a way to assess the robustness of ranking differences.
The approach enhances the interpretability of ranking comparisons.
Abstract
The Leiden Ranking 2011/2012 provides the Proportion top-10% publications (PP top 10%) as a new indicator. This indicator allows for testing the difference between two ranks for statistical significance.
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Taxonomy
Topicsscientometrics and bibliometrics research
