Research metrics
PLOS is proud to play a role in helping researchers maximize the visibility and impact of their work, advance scientific discovery, and increase open science adoption within the communities we serve.
Everything we publish is immediately and freely accessible to readers everywhere, and we work tirelessly to increase adoption of open science practices that facilitate research transparency, reproducibility, and reuse.
PLOS is a signatory of the San Francisco Declaration on Research Assessment (DORA)
Aligned with our core mission and as a signatory of the San Francisco Declaration on Research Assessment (DORA), PLOS has always advocated for improving the ways in which the outputs of scientific research are evaluated. Central to this commitment is a reduction in the reliance on the Journal Impact Factor™, and driving towards research assessment based on article-level metrics.
Journal and article-level metrics^
We recognize that authors are often required to meet specific expectations, and rely on a range of metrics to determine a journal’s suitability for their work. All of our journals have a range of metrics available, including SJR, CiteScore, and h-index. More specific metrics on publication timings and acceptance rates are included below.
In line with our DORA commitment the Journal Impact Factor™ is not provided.
We encourage all authors who publish in a PLOS journal to track their personal article-level-metrics including views and citations, along with using our Altmetric integration to track news, policy, and social media mentions. Our two newest journals, PLOS Complex Systems and PLOS Mental Health, opened for submissions in 2023. The first articles in these journals published in 2024, and this page will be updated once more information is available.*
^ All metrics are for 2023. 2024 metrics will be available in July 2025. This page will be updated annually. Citation data sourced from Digital Science’s Dimensions platform, available at https://app.dimensions.ai. Time to first decision (TTFD) and time to publication (TTP) are median average calculations from PLOS data. Acceptance rate is an average percentage, and number of publications refers to the total articles published in the named journal.
Open Science Indicators
Open Science Indicators are a tool developed by PLOS in collaboration with DataSeer to measure open science behaviors in a standardized way. OSIs enable us to better understand the state of open science practice today and identify ways in which we can further advance adoption of best practices. The metrics below represent open science behaviors across articles published in PLOS journals in 2023, and are updated every year. The 2024 metrics will be available in July 2025.
Data shared in a repository
29%
versus 20% at comparators
Code shared of code generated
42%
versus 24% at comparators
Preprint sharing
24%
versus 28% at comparators
Find out more about the latest Open Science Indicators results
Definitions of metrics used at PLOS
Open Science Indicators
PLOS partnered with DataSeer to develop Open Science Indicators (OSIs) as a framework for measuring specific open science characteristics and behaviors observable in published research articles.
PLOS publishes detailed data for all journal titles, as well as comparator data points each quarter. You can download the full dataset here.
Data shared in a repository
The proportion of research articles published in the given year where research data produced or analyzed by the study has been detected in a data repository and linked to the article.
Code shared out of code generated
The proportion of research articles published in the given year where publicly available code associated with the study has been detected, shown as a percentage of articles that generated code.
Published articles with preprints
The proportion of all published research articles in the given year where a preprint version of the article has been detected.
Journal metrics
A number of journal-level metrics from various indexers have emerged over recent years in an effort to broaden the evaluation of scholarly journals. We encourage authors to utilize a variety of factors in determining the right journal for their research.
Altmetric
Article-level-metrics are quantifiable measures at the article level that document the many ways in which both scientists and the general public engage with published research. PLOS articles display views, discussions, saves, and recommendations. Altmetric.com describes the sources for their data here.
SJR (SCImago Journal Rank)
The SJR measures weighted citations received by the journal. Weightings depend on the subject field and prestige (SJR) of the citing journal and in general, self-citations are not included in the calculation and citation weighting.
CiteScore
The average citations per document that a journal receives over a three-year period. It is calculated as the number of citations received in the given year to documents published in the previous three years, divided by the number of documents for the three years.
Google Scholar
h-Index
The h-index measures both productivity and citation impact of publications. It is calculated by counting the number of publications for which an author has been cited by other authors at least that same number of times – for example, a h-index of 20 would indicate 20 articles, each cited at least 20 times.