Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/6868
Title: The number of authors per article in library and information science can often be described by a simple probability distribution
Authors: ROUSSEAU, Ronald 
Issue Date: 1994
Publisher: MCB UP Ltd
Source: Journal of documentation, 50(2). p. 134-141
Abstract: Ajiferuke showed that observed author distributions can best be described by a shifted inverse Gaussian-Poisson distribution. Yet, in the framework of a model to explain observed fractional distributions of authors it is important to know whether a simple one-parameter distribution such as a geometric or a truncated Poisson can adequately describe observed author distributions, at least in those fields where the single author is still dominant. In this article it is shown that for the field of information science this is indeed the case.
Document URI: http://hdl.handle.net/1942/6868
DOI: 10.1108/eb026928
Type: Journal Contribution
Appears in Collections:Research publications

Show full item record

SCOPUSTM   
Citations

16
checked on Sep 5, 2020

WEB OF SCIENCETM
Citations

16
checked on May 22, 2022

Page view(s)

52
checked on May 20, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.