Evidence map›Paper›PMID 36927553›Full record

ArticleJMIR formative research2023

Factors Associated With Open Access Publishing Costs in Oncology Journals: Cross-sectional Observational Study.

Alex Koong, Ulysses Grant Gardner, Jason Burton, Caleb Stewart, Petria Thompson, Clifton David Fuller, Ethan Bernard Ludmir, Michael Kevin Rooney

Full text read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Alex KoongDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.ORCID https://orcid.org/0000-0002-6448-5209
Ulysses Grant GardnerDepartment of Radiation Oncology, Johns Hopkins University, Baltimore, MD, United States.ORCID https://orcid.org/0000-0003-4378-117X
Jason BurtonDepartment of Radiation Oncology, Dartmouth University, Lebanon, NH, United States.ORCID https://orcid.org/0000-0002-0729-9215
Caleb StewartDepartment of Radiation Oncology, Texas Tech University, Lubbock, TX, United States.ORCID https://orcid.org/0000-0001-9795-6241
Petria ThompsonDepartment of Radiation Oncology, University of California San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-3839-4303
Clifton David FullerDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.ORCID https://orcid.org/0000-0002-5264-3994
Ethan Bernard LudmirDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.ORCID https://orcid.org/0000-0002-5472-5344
Michael Kevin RooneyDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.ORCID https://orcid.org/0000-0002-2860-4653

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

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

objectiveIn this observational cohort study, we aimed to characterize the landscape of OA publishing in oncology and, further, identify characteristics of oncology journals that are predictive of APCs.

methodsWe 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 (in US dollars), 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. All APCs were converted to US-dollar equivalents for final analyses. Selecting variables with significant associations in the univariable analysis, we generated a multiple regression model to identify journal characteristics independently associated with OA APC amount. An audit of a random 10% sample of the data was independently performed by 2 authors to ensure data accuracy, precision, and reproducibility.

resultsOf 367 oncology journals screened, 251 met the final inclusion criteria. The median APC was US $2957 (IQR 1958-3450). The majority of journals (n=156, 62%) adopted the hybrid OA publication model and were based in Europe (n=119, 47%) or North America (n=87, 35%). The median (IQR) APC for all journals was US $2957 (1958-3540). Twenty-five (10%) journals had APCs greater than US $4000. There were 10 (4%) journals that offered OA publication with no publication charge. Univariable testing showed that journals with a greater number of citable documents (P<.001), higher 2-year IF (P<.001), higher H-index (P<.001), and those using the hybrid OA model (P<.001), or originating in Europe or North America (P<.001) tended to have higher APCs. In our multivariable model, the number of citable documents (β=US $367, SD US $133; P=.006), 2-year IF (US $1144, SD US $177; P<.001), hybrid OA publishing model (US $991, SD US $189; P<.001), and North American origin (US $838, SD US $186; P<.001) persisted as significant predictors of processing charges.

conclusionsOA publication costs are greater in oncology journals that publish more citable articles, use the hybrid OA model, have a 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.

Indexed as

academic publishingarticle processing chargeoncologyopen accessopen access publishingscholarly communication

Identifiers

PMID36927553
PMCPMC10019765

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read18
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.