The level of non-citation of articles within a journal as a measure of quality: a comparison to the impact factor.
BACKGROUND
Current methods of measuring the quality of journals assume that citations of articles within journals are normally distributed. Furthermore using journal impact factors to measure the quality of individual articles is flawed if citations are not uniformly spread between articles. The aim of this study was to assess the distribution of citations to articles and use the level of non-citation of articles within a journal as a measure of quality. This ranking method is compared with the impact factor, as calculated by ISI(R).


METHODS
Total citations gained by October 2003, for every original article and review published in current immunology (13125 articles; 105 journals) and surgical (17083 articles; 120 journals) fields during 2001 were collected using ISI(R) Web of Science.


RESULTS
The distribution of citation of articles within an individual journal is mainly non-parametric throughout the literature. One sixth (16.7%; IQR 13.6-19.2) of articles in a journal accrue half the total number of citations to that journal. There was a broader distribution of citation to articles in higher impact journals and in the field of immunology compared to surgery. 23.7% (IQR 14.6-42.4) of articles had not yet been cited. Levels of non-citation varied between journals and subject fields. There was a significant negative correlation between the proportion of articles never cited and a journal's impact factor for both immunology (rho = -0.854) and surgery journals (rho = -0.924).


CONCLUSIONS
Ranking journals by impact factor and non-citation produces similar results. Using a non-citation rate is advantageous as it creates a clear distinction between how citation analysis is used to determine the quality of a journal (low level of non-citation) and an individual article (citation counting). Non-citation levels should therefore be made available for all journals.
Weale
Andy R
AR
Molecular and Cellular Biology, Division of Veterinary Pathology Infection & Immunity, University of Bristol, Langford House, Langford BS40 5DU, UK. andy@weale.org.uk
Bailey
Mick
M
Lear
Paul A
PA
D000043:Abstracting and Indexing / Q000379:methods / Q000592:standards; D015706:Bibliometrics; D010506:Periodicals as Topic / Q000592:standards* / Q000706:statistics & numerical data; D011786:Quality Control