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Diffusion factors

Tove Faber Frandsen (Royal School of Library and Information Science, Copenhagen, Denmark)
Ronald Rousseau (KHBO, Industrial Sciences and Technology, Oostende, Belgium)
Ian Rowlands (Department of Information Science, City University, London, UK)

Journal of Documentation

ISSN: 0022-0418

Article publication date: 1 January 2006

2759

Abstract

Purpose

The purpose of this paper is to clarify earlier work on journal diffusion metrics. Classical journal indicators such as the Garfield impact factor do not measure the breadth of influence across the literature of a particular journal title. As a new approach to measuring research influence, the study complements these existing metrics with a series of formally described diffusion factors.

Design/methodology/approach

Using a publication‐citation matrix as an organising construct, the paper develops formal descriptions of two forms of diffusion metric: “relative diffusion factors” and “journal diffusion factors” in both their synchronous and diachronous forms. It also provides worked examples for selected library and information science and economics journals, plus a sample of health information papers to illustrate their construction and use.

Findings

Diffusion factors capture different aspects of the citation reception process than existing bibliometric measures. The paper shows that diffusion factors can be applied at the whole journal level or for sets of articles and that they provide a richer evidence base for citation analyses than traditional measures alone.

Research limitations/implications

The focus of this paper is on clarifying the concepts underlying diffusion factors and there is unlimited scope for further work to apply these metrics to much larger and more comprehensive data sets than has been attempted here.

Practical implications

These new tools extend the range of tools available for bibliometric, and possibly webometric, analysis. Diffusion factors might find particular application in studies where the research questions focus on the dynamic aspects of innovation and knowledge transfer.

Originality/value

This paper will be of interest to those with theoretical interests in informetric distributions as well as those interested in science policy and innovation studies.

Keywords

Citation

Faber Frandsen, T., Rousseau, R. and Rowlands, I. (2006), "Diffusion factors", Journal of Documentation, Vol. 62 No. 1, pp. 58-72. https://doi.org/10.1108/00220410610642048

Publisher

:

Emerald Group Publishing Limited

Copyright © 2006, Emerald Group Publishing Limited

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