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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Assessment of Cardiac, Vascular, and Pulmonary Pathobiology In Vivo During Acute COVID‐19
This article has 21 authors:Reviewed by ScreenIT
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A mRNA vaccine encoding for a RBD 60-mer nanoparticle elicits neutralizing antibodies and protective immunity against the SARS-CoV-2 delta variant in transgenic K18-hACE2 mice
This article has 15 authors:Reviewed by ScreenIT
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Macrophages only sense infectious SARS-CoV-2 when they express sufficient ACE2 to permit viral entry, where rapid cytokine responses then limit viral replication
This article has 24 authors:Reviewed by ScreenIT
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Methylene Blue Is a Nonspecific Protein–Protein Interaction Inhibitor with Potential for Repurposing as an Antiviral for COVID-19
This article has 8 authors:Reviewed by ScreenIT
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Listening to Voices from African American Communities in the Southern States about COVID-19 Vaccine Information and Communication: A Qualitative Study
This article has 5 authors:Reviewed by ScreenIT
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A sliding window approach to optimize the time-varying parameters of a spatially-explicit and stochastic model of COVID-19
This article has 4 authors:Reviewed by ScreenIT
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Rapid genotyping of viral samples using Illumina short-read sequencing data
This article has 6 authors:Reviewed by ScreenIT
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Another doubling of excess mortality in the United States relative to its European peers between 2017 and 2021
This article has 1 author:Reviewed by ScreenIT
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Identification of a Novel SARS-CoV-2 Delta-Omicron Recombinant Virus in the United States
This article has 20 authors:Reviewed by ScreenIT
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More severe pneumonitis in children predicts the need for admission and elevation of some but not all markers of severe Covid-19
This article has 3 authors:Reviewed by ScreenIT