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New Quantitative Cost-Impact Effectiveness Indexes to Assist in Publication Decisions by Researchers in the Open Access Era

Hardy, J. C.; Vu, C. K.; Wang, D.

2025-10-15 scientific communication and education
10.1101/2025.10.10.681750 bioRxiv
Show abstract

Scientific publications have become the backbone of scientific communication since their foundation in 1665. The three main models for publishing are Traditional (or subscription-based), Open Access (OA), and Hybrid. As of July 1, 2025, the NIH requires that Author Accepted Manuscripts resulting from NIH-funded research be immediately publicly available. To comply with this new requirement, authors may be forced to pay an Article Processing Charge (APC) to publish Open Access, ranging from [~]$2000 to [~]$13,000 per article. With this change to the scientific publishing landscape, publishing costs shift from subscribers to authors causing authors to re-evaluate how they choose which journal to publish in. Here we analyze 75 popular biomedical journals to evaluate the publishing costs compared to the scientific impact (i.e. Impact Factor, CiteScore, SNIP) illustrated by three different Cost-Impact Effectiveness (CIE) metrics (APC/IF, APC/CS and APC/SNIP). To complement the new open access policy, our goal is to provide a resource to help the scientific community evaluate the impact-based cost effectiveness of different Open Access options during their journal selection process.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 10%
18.5%
2
Genomics, Proteomics & Bioinformatics
171 papers in training set
Top 0.2%
18.1%
3
PLOS Biology
408 papers in training set
Top 1%
6.3%
4
FEBS Letters
42 papers in training set
Top 0.1%
4.3%
5
eLife
5422 papers in training set
Top 20%
4.3%
50% of probability mass above
6
Journal of the American Medical Informatics Association
61 papers in training set
Top 0.8%
3.6%
7
PeerJ
261 papers in training set
Top 4%
2.6%
8
FEBS Open Bio
29 papers in training set
Top 0.1%
2.6%
9
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 26%
2.4%
10
PLOS Computational Biology
1633 papers in training set
Top 14%
2.1%
11
Entropy
20 papers in training set
Top 0.1%
1.8%
12
Scientific Reports
3102 papers in training set
Top 56%
1.8%
13
Communications Biology
886 papers in training set
Top 9%
1.7%
14
BioData Mining
15 papers in training set
Top 0.3%
1.7%
15
Heliyon
146 papers in training set
Top 2%
1.7%
16
Database
51 papers in training set
Top 0.5%
1.5%
17
ACS Omega
90 papers in training set
Top 2%
1.5%
18
The FEBS Journal
78 papers in training set
Top 0.3%
1.5%
19
FASEB BioAdvances
15 papers in training set
Top 0.2%
1.2%
20
GigaScience
172 papers in training set
Top 2%
0.9%
21
BMC Medicine
163 papers in training set
Top 5%
0.9%
22
Artificial Intelligence in the Life Sciences
11 papers in training set
Top 0.2%
0.9%
23
PLOS Digital Health
91 papers in training set
Top 2%
0.9%
24
Bioinformatics
1061 papers in training set
Top 9%
0.8%
25
Royal Society Open Science
193 papers in training set
Top 4%
0.8%
26
Journal of Cellular Physiology
21 papers in training set
Top 0.8%
0.7%
27
F1000Research
79 papers in training set
Top 5%
0.7%
28
Frontiers in Public Health
140 papers in training set
Top 9%
0.7%
29
JAMA Network Open
127 papers in training set
Top 5%
0.6%