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Testing differences statistically with the Leiden ranking

Author

Listed:
  • Loet Leydesdorff

    (University of Amsterdam)

  • Lutz Bornmann

    (Administrative Headquarters)

Abstract

The Leiden ranking 2011/2012 provides the Proportion top-10% publications (PP top-10% ) as a new indicator. This indicator allows for testing performance differences between two universities for statistical significance.

Suggested Citation

  • Loet Leydesdorff & Lutz Bornmann, 2012. "Testing differences statistically with the Leiden ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 781-783, September.
    • Handle: RePEc:spr:scient:v:92:y:2012:i:3:d:10.1007_s11192-012-0636-6
    DOI: 10.1007/s11192-012-0636-6
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    References listed on IDEAS

    as
    1. Loet Leydesdorff & Lutz Bornmann & Rüdiger Mutz & Tobias Opthof, 2011. "Turning the tables on citation analysis one more time: Principles for comparing sets of documents," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(7), pages 1370-1381, July.
    2. Zhou, Ping & Leydesdorff, Loet, 2011. "Fractional counting of citations in research evaluation: A cross- and interdisciplinary assessment of the Tsinghua University in Beijing," Journal of Informetrics, Elsevier, vol. 5(3), pages 360-368.
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    Citations

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    Cited by:

    1. Hyeonchae Yang & Woo-Sung Jung, 2015. "A strategic management approach for Korean public research institutes based on bibliometric investigation," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1437-1464, July.
    2. Cinzia Daraio & Simone Di Leo & Loet Leydesdorff, 2023. "A heuristic approach based on Leiden rankings to identify outliers: evidence from Italian universities in the European landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 483-510, January.
    3. Bornmann, Lutz & Leydesdorff, Loet & Mutz, Rüdiger, 2013. "The use of percentiles and percentile rank classes in the analysis of bibliometric data: Opportunities and limits," Journal of Informetrics, Elsevier, vol. 7(1), pages 158-165.
    4. Cinzia Daraio & Simone Di Leo & Loet Leydesdorff, 2022. "Using the Leiden Rankings as a Heuristics: Evidence from Italian universities in the European landscape," LEM Papers Series 2022/08, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Caroline S. Wagner & Lin Zhang & Loet Leydesdorff, 2022. "A discussion of measuring the top-1% most-highly cited publications: quality and impact of Chinese papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1825-1839, April.
    6. Leydesdorff, Loet & Wagner, Caroline S. & Bornmann, Lutz, 2014. "The European Union, China, and the United States in the top-1% and top-10% layers of most-frequently cited publications: Competition and collaborations," Journal of Informetrics, Elsevier, vol. 8(3), pages 606-617.
    7. Park, Han Woo & Leydesdorff, Loet, 2013. "Decomposing social and semantic networks in emerging “big data” research," Journal of Informetrics, Elsevier, vol. 7(3), pages 756-765.
    8. Bornmann, Lutz, 2013. "The problem of citation impact assessments for recent publication years in institutional evaluations," Journal of Informetrics, Elsevier, vol. 7(3), pages 722-729.

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