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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Safety and superior immunogenicity of heterologous boosting with an RBD-based SARS-CoV-2 mRNA vaccine in Chinese adults
This article has 15 authors:Reviewed by ScreenIT
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Immunity response against mild-to-moderate breakthrough COVID-19
This article has 20 authors:Reviewed by ScreenIT
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SARS-COV-2 Delta and Omicron community transmission networks
This article has 4 authors:Reviewed by ScreenIT
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Potent and pan-neutralization of SARS-CoV-2 variants of concern by DARPins
This article has 18 authors:Reviewed by ScreenIT
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Incidence of Post-Covid Syndrome and Associated Symptoms in Outpatient Care in Bavaria, Germany
This article has 7 authors:Reviewed by ScreenIT
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The SARS-CoV-2 accessory factor ORF7a downregulates MHC class I surface expression
This article has 15 authors:Reviewed by ScreenIT
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Genome similarities between human-derived and mink-derived SARS-CoV-2 make mink a potential reservoir of the virus
This article has 2 authors:Reviewed by ScreenIT
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Herd immunity on chip: recapitulating virus transmission in human society
This article has 6 authors:Reviewed by ScreenIT
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Governance is key to controlling SARS-CoV-2’s vaccine resistance
This article has 4 authors:Reviewed by ScreenIT
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Increased ambulance attendances related to suicide and self-injury in response to the pandemic in Australia
This article has 5 authors:Reviewed by ScreenIT