کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6934079 1449490 2018 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The lognormal distribution explains the remarkable pattern documented by characteristic scores and scales in scientometrics
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
The lognormal distribution explains the remarkable pattern documented by characteristic scores and scales in scientometrics
چکیده انگلیسی
Characteristic scores and scales (CSS) - a well-established scientometric tool for the study of citation counts - have been used to document a striking phenomenon that characterizes citation distributions at high levels of aggregation: irrespective of scientific field and citation window empirical studies find a persistent pattern whereby about 70% of scientific papers belong to the class of poorly cited papers, about 21% belong to the class of fairly cited papers, 6% to that of remarkably cited papers and 3% to the class of outstandingly cited papers. This article aims to advance the understanding of this remarkable result by examining it in the context of the lognormal distribution, a popular model used to describe citation counts across scientific fields. The article shows that the application of the CSS method to lognormal distributions provides a very good fit to the 70-21-6-3% empirical pattern provided these distributions are characterized by a standard deviation parameter in the range of about 0.8-1.3. The CSS pattern is essentially explainable as an epiphenomenon of the lognormal functional form and, more generally, as a consequence of the skewness of science which is manifest in heavy-tailed citation distributions.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Informetrics - Volume 12, Issue 2, May 2018, Pages 401-415
نویسندگان
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