ScreenIT
The Automated Screening Working Groups is a group of software engineers and biologists passionate about improving scientific manuscripts on a large scale. Our members have created tools that check for common problems in scientific manuscripts, including information needed to improve transparency and reproducibility. We have combined our tools into a single pipeline, called ScreenIT. We're currently using our tools to screen COVID preprints.
Latest preprint reviews
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No excess mortality detected in rural Bangladesh in 2020 from repeated surveys of a population of 81,000
This article has 7 authors:Reviewed by ScreenIT
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SARS-CoV-2 Antibody Rapid Tests: Valuable Epidemiological Tools in Challenging Settings
This article has 10 authors:Reviewed by ScreenIT
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Design, immunogenicity and efficacy of a Pan-SARS-CoV-2 synthetic DNA vaccine
This article has 30 authors:Reviewed by ScreenIT
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Preclinical evaluation of a SARS-CoV-2 mRNA vaccine PTX-COVID19-B
This article has 27 authors:Reviewed by ScreenIT
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Resuming In-Person Classes under COVID-19: Evaluating Assigned Seating Protocols in Limiting Contacts at Postsecondary Institutions
This article has 3 authors:Reviewed by ScreenIT
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Temporal Changes in the Risk of Superspreading Events of Coronavirus Disease 2019
This article has 4 authors:Reviewed by ScreenIT
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Plasmodium infection is associated with cross-reactive antibodies to carbohydrate epitopes on the SARS-CoV-2 Spike protein
This article has 63 authors:Reviewed by ScreenIT
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SIR-based model with multiple imperfect vaccines
This article has 3 authors:Reviewed by ScreenIT
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The Influence of Coronavirus Disease-2019 (COVID-19) On Parkinson’s Disease: An Updated Systematic Review
This article has 14 authors:Reviewed by ScreenIT
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Impact of vaccination on the COVID-19 pandemic in U.S. states
This article has 5 authors:Reviewed by ScreenIT