Uncertainties and Ambiguities in Percentiles and how to Avoid Them

@article{Schreiber2013UncertaintiesAA,
  title={Uncertainties and Ambiguities in Percentiles and how to Avoid Them},
  author={Michael Schreiber},
  journal={JASIST},
  year={2013},
  volume={64},
  pages={640-643}
}
Introduction The recently proposed fractional scoring method (Schreiber, 2012) has been discounted by Leydesdorff (2012) as computationally intensive and as unnecessary complex. While his arguments are correct, I do not find his solution of attributing papers to percentile rank (PR) classes convincing. A Leydesdorff admits, his approach leads to an uncertainty depending of the applied counting rule. Although this uncertainty decreases with the number N of documents as 1/N, I find this… CONTINUE READING

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