Disclaimer
THE SITE DOES NOT SHOW OR IMPLY ANY TYPE OF RESEARCH MISCONDUCT, INCLUDING PLAGIARISM, FABRICATION, OR FALSIFICATION, EITHER DIRECTLY OR INDIRECTLY. THE SITE DOES NOT WARRANT THAT ANY RESULTS OR ANALYSES ARE COMPLETE OR ACCURATE. The site and all information available through the site are provided "as is", with all faults, and "as available". The views, thoughts, and opinions expressed in the website belong solely to the author, and not necessarily to the author's employer, organization, funders, or other group or individual.
About
This website analyzes all publications posted on bioRxiv.org and medRxiv.org related to COVID-19 SARS-CoV-2. However, there is a lag between our analysis and the latest preprints posted there.
The goal of our checks is to help the peer-review process of these articles. Coronavirus has put tremendous strain on the peer review system where thousands of preprints are waiting to be peer-reviewed by experts (see here and here). We hope to help by detecting potential issues.
If you believe that your preprint has been incorrectly listed on this website, please send an email to deacuna at syr.edu with the DOI information.
How to cite this website
Acuna, Daniel E. (2020, July). COVID-19 Preprint Analysis.
Retrieved from
https://covid19.scienceofscience.org
What is being analyzed?
covid19-bio/med-arxiv is the set of publications analyzed in COVID19-Check related to COVID-19. At the moment, these are the checks that are being run:
- Check figure element reuse across covid19-bio-med-arxiv preprints
The following checks are in the works:
- Check figure element reuse of covid19-bio-med-arxiv preprints against Pubmed Open Access publications
- Check full-text for likely missing citations predicted by model in Tong and Acuna, 2020
This website and analyses are created by Daniel E. Acuna. Some of the technology is copyrighted by Daniel Acuna. Some is Patent Pending # 16/752,113 by Syracuse University and other institutions.
The basic analytic technique is described in
Acuna, Brookes, and Kording (2018) "Bioscience-scale automated detection of figure element reuse", bioRxiv, https://doi.org/10.1101/269415
Frequently Asked Questions (FAQ)
I have updated my version of the preprint in *xiv, but it still shows an old version in this website. Why?
Our analysis is only based on version 1 of your preprint. We are working on updating our scraper to get the latest manuscript version.
How can I have my manuscript removed from this website?
Contact us at deacuna at syr.edu with the DOI.
I had received an email with an access token but now it does not work. What can I do?
Contact us at deacuna at syr.edu with the DOI.
Funding
The research behind this website is partially funded by the Office of Research Integrity, Department
of
Health and Human Services, under grants ORIIIR190049 and ORIIR180041.
The contents of this website are solely the responsibility of the authors and
do not necessarily represent the official views of the
Office of the Assistant Secretary for Health (OASH) or the United States Department of Health
and Human Services (HHS)