Regression for citation data: An evaluation of different methods

@article{Thelwall2014RegressionFC,
  title={Regression for citation data: An evaluation of different methods},
  author={Mike A Thelwall and Paul Wilson},
  journal={ArXiv},
  year={2014},
  volume={abs/1510.08877}
}
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… Expand
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95 Citations
Highly Influential Citations
2
Background Citations
14
Methods Citations
31
Results Citations
1

95 Citations

Citation Type

Citation Type

Stopped Sum Models for Citation Data
TLDR
This article assesses stopped sum models for citation data and compares them with two previously used models, the discretised lognormal and negative binomial distributions using the Akaike Information Criterion. Expand
Citation count distributions for large monodisciplinary journals
  • M. Thelwall
  • Computer Science, Mathematics
  • J. Informetrics
  • 2016
TLDR
Fitting statistical distributions to 50 large subject-specific journals in the belief that individual journals can be purer than subject categories and may therefore give clearer findings suggests that the discretised lognormal is the more appropriate distribution for modelling pure citation data. Expand
Stopped sum models and proposed variants for citation data
TLDR
Based upon data from 20 Scopus categories, some of the stopped sum variant models had lower AIC values than the discretised lognormal models, which were otherwise the best (with respect to AIC). Expand
The h index for research assessment: Simple and popular, but shown by mathematical analysis to be inconsistent and misleading
TLDR
In synthetic series, the number of citations and the mean number of citation are much better indicators of research performance than h and h/N, and it is discussed that this conclusion can be extended to real citation series. Expand
Are the discretised lognormal and hooked power law distributions plausible for citation data?
  • M. Thelwall
  • Mathematics, Computer Science
  • J. Informetrics
  • 2016
TLDR
This article investigates the plausibility of the discretised lognormal and hooked power law distributions for modelling the full range of citation counts, with an offset of 1.0, and finds that both distributions fail a Kolmogorov–Smirnov goodness of fit test. Expand
More precise methods for national research citation impact comparisons
TLDR
Two new methods to identify national differences in average citation impact are introduced, one based on linear modelling for normalised data and the other using the geometric mean, which has the advantage of distinguishing between national contributions to internationally collaborative articles. Expand
The discretised lognormal and hooked power law distributions for complete citation data: Best options for modelling and regression
  • M. Thelwall
  • Mathematics, Computer Science
  • J. Informetrics
  • 2016
TLDR
Comparisons of the discretised lognormal and the hooked power law with citation data are reported, adding 1 to citation counts in order to include zeros. Expand
Double rank analysis for research assessment
TLDR
The double rank analysis is developed, in which publications that have a low number of citations are also included, in order to achieve the same purpose without restrictions. Expand
Does quality and content matter for citedness? A comparison with para-textual factors and over time
TLDR
It is found that the JIF has a larger influence on the citation impact of a publication than the quality (measured by judgments of peers). Expand
The application of citation count regression to identify important papers in the literature on non-audit fees
PurposeThis paper aims to show that when conducting a literature review, important papers can be identified by regressing citation counts on prior publications’… Expand
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