Impact of FUTON and NAA bias on visibility of research.
OBJECTIVE
To determine whether availability of journals on MEDLINE as FUTON (full text on the Net) affects their impact factor.


METHODS
A comprehensive search identified 324 cardiology, nephrology, and rheumatology/immunology journals on-line until May 2003. The status of these journals was ascertained in MEDLINE as having FUTON, abstracts only, and NAA (no abstract available). Impact factors for all available journals from the Institute for Scientific Information (ISI) were abstracted.


RESULTS
Of the 324 Journals, 124 (38.3%) were FUTON, 138 (42.6%) had abstracts only, and 62 (19.1%) had NAA. The mean (+/-SEM) impact factor was 3.24 (+/-0.32), 1.64 (+/-0.30), and 0.14 (+/-0.45), respectively. Of the 324 current journals, 159 existed in both the pre- and the post-Internet era. An analysis of the change (ie, delta) in impact factor from the pre- to post-Internet era revealed a trend between journals with FUTON and abstracts only (P=.17, Wilcoxon rank sum test). Similar analyses of the delta of cardiology journals revealed a statistically significant difference between Journals with FUTON and abstracts only (P=.04, Wilcoxon rank sum test).


CONCLUSIONS
FUTON bias is the tendency to peruse what is more readily available. This is the first study to show that on-line availability of medical literature may increase the impact factor and that such increase tends to be greater in FUTON journals. Failure to consider this bias may affect a journal's impact factor. Also, it could limit consideration of medical literature by ignoring relevant NAA articles and thereby influence medical education akin to publication or language bias.
Murali
Narayana S
NS
Division of Nephrology and Hypertension, Mayo Clinic College of Medicine, Rochester, Minn 55905, USA.
Murali
Hema R
HR
Auethavekiat
Paranee
P
Erwin
Patricia J
PJ
Mandrekar
Jayawant N
JN
Manek
Nisha J
NJ
Ghosh
Amit K
AK
D000043:Abstracting and Indexing / Q000706:statistics & numerical data / Q000639:trends; D000486:Allergy and Immunology; D000704:Analysis of Variance; D015982:Bias; D015706:Bibliometrics; D002309:Cardiology; D004059:Diffusion of Innovation; D019317:Evidence-Based Medicine / Q000458:organization & administration; D006801:Humans; D033181:Information Dissemination / Q000379:methods; D016247:Information Storage and Retrieval / Q000379:methods / Q000706:statistics & numerical data / Q000639:trends; D020407:Internet / Q000458:organization & administration*; D016239:MEDLINE / Q000458:organization & administration*; D009398:Nephrology; D009936:Organizational Innovation; D010506:Periodicals as Topic / Q000706:statistics & numerical data* / Q000639:trends; D012106:Research / Q000458:organization & administration; D012219:Rheumatology; D018709:Statistics, Nonparametric