Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Citation count distributions for large monodisciplinary journals   Many different citation-based indicators are used by researchers and research
evaluators to help evaluate the impact of scholarly outputs. Although the
appropriateness of individual citation indicators depends in part on the
statistical properties of citation counts, there is no universally agreed
best-fitting statistical distribution against which to check them. The two
current leading candidates are the discretised lognormal and the hooked or
shifted power law. These have been mainly tested on sets of articles from a
single field and year but these collections can include multiple specialisms
that might dilute their properties. This article fits 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.
The results show that in most cases the discretised lognormal fits
significantly better than the hooked power law, reversing previous findings for
entire subcategories. This suggests that the discretised lognormal is the more
appropriate distribution for modelling pure citation data. Thus future
analytical investigations of the properties of citation indicators can use the
lognormal distribution to analyse their basic properties. This article also
includes improved software for fitting the hooked power law.

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The categories of this paper are: atom-ph
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The categories of this paper are: nlin
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The categories of this paper are: hep-th
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The categories of this paper are: supr-con
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The categories of this paper are: chao-dyn
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The categories of this paper are: q-bio
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The categories of this paper are: solv-int
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The categories of this paper are: chem-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: math-ph
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The categories of this paper are: q-alg
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The categories of this paper are: plasm-ph
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The categories of this paper are: comp-gas
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The categories of this paper are: stat
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The categories of this paper are: bayes-an
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The categories of this paper are: adap-org