• DOI:10.1016/j.joi.2014.09.011
Corpus ID: 8338485

Regression for citation data: An evaluation of different methods

@article{Thelwall2014RegressionFC,
  title={Regression for citation data: An evaluation of different methods},
  author={M. Thelwall and P. Wilson},
  journal={ArXiv},
  year={2014},
  volume={abs/1510.08877}
}

M. Thelwall, P. Wilson

Published 2014

Mathematics, Computer Science

ArXiv

Citations are increasingly used for research evaluations. It is therefore important to identify factors affecting citation scores that are unrelated to scholarly quality or usefulness so that these can be taken into account. Regression is the most powerful statistical technique to identify these factors and hence it is important to identify the best regression strategy for citation data. Citation counts tend to follow a discrete lognormal distribution and, in the absence of alternatives, have… CONTINUE READING

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