JMIR Publications

ABSTRACT

Background:

Open access (OA) publishing represents an exciting opportunity to facilitate dissemination of scientific information to global audiences. However, OA publication is often associated with significant article processing charges (APCs) for authors, which may thus serve as a barrier to publication.

Objective:

To evaluate patterns of OA APCs among oncology journals and identify journal characteristics that are predictive of increased costs.

Methods:

We identified oncology journals using the SCImago Journal & Country Rank database. All journals with an OA publication option and APC data openly available were included. We searched journal websites and tabulated journal characteristics, including APC amount (USD), OA model (hybrid vs full), 2-year impact factor (IF), H-index, number of citable documents, modality/treatment specific (if applicable), and continent of origin. We generated a multiple regression model to identify journal characteristics independently associated with OA APC amount.

Results:

Of 367 oncology journals screened, 251 met final inclusion criteria. The median APC was 2957 USD (IQR 1958-3450). On univariable testing, journals with greater number of citable documents (p<0.001), higher IF (p < 0.001), higher H-index (p < 0.001), and those using the hybrid OA model (p < 0.001) or originating in Europe/North America (p < 0.001) tended to have higher APCs. In our multivariable model, number of citable documents, IF, OA publishing model, and region persisted as significant predictors of processing charges.

Conclusions:

OA publication costs are greater in oncology journals that publish more citable articles, utilize the hybrid OA model, have higher IF, and are based in North America or Europe. These findings may inform targeted action to help the oncology community fully appreciate the benefits of open science.