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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Higher case fatality rate among obstetric patients with COVID-19 in the second year of pandemic in Brazil: do new genetic variants play a role?
This article has 7 authors:Reviewed by ScreenIT
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Estimating Vaccine Efficacy Against Transmission via Effect on Viral Load
This article has 3 authors:Reviewed by ScreenIT
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ProLung ™- budesonide Inhibits SARS-CoV-2 Replication and Reduces Lung Inflammation
This article has 10 authors:Reviewed by ScreenIT
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A direct capture method for purification and detection of viral nucleic acid enables epidemiological surveillance of SARS-CoV-2
This article has 10 authors:Reviewed by ScreenIT
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Estimated Spike Evolution and Impact of Emerging SARS-CoV-2 Variants
This article has 5 authors:Reviewed by ScreenIT
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Nanopore Dwell Time Analysis Permits Sequencing and Conformational Assignment of Pseudouridine in SARS-CoV-2
This article has 4 authors:Reviewed by ScreenIT
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Tools for interpretation of wastewater SARS-CoV-2 temporal and spatial trends demonstrated with data collected in the San Francisco Bay Area
This article has 21 authors:Reviewed by ScreenIT
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Inhibiting LSD1 suppresses coronavirus-induced inflammation but spares innate antiviral activity
This article has 25 authors:Reviewed by ScreenIT
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The Immunological Factors Predisposing to Severe Covid-19 Are Already Present in Healthy Elderly and Men
This article has 11 authors:Reviewed by ScreenIT
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Vitamin C Binds to SARS Coronavirus-2 Main Protease Essential for Viral Replication
This article has 9 authors:Reviewed by ScreenIT