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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Beneficial effect of corticosteroids in preventing mortality in patients receiving tocilizumab to treat severe COVID-19 illness
This article has 44 authors:Reviewed by ScreenIT
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Medium-term effects of SARS-CoV-2 infection on multiple vital organs, exercise capacity, cognition, quality of life and mental health, post-hospital discharge
This article has 49 authors:Reviewed by ScreenIT
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Engineered receptor binding domain immunogens elicit pan-sarbecovirus neutralizing antibodies outside the receptor binding motif
This article has 11 authors:Reviewed by ScreenIT
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Clinical utility of Corona Virus Disease-19 serum IgG, IgM, and neutralizing antibodies and inflammatory markers
This article has 14 authors:Reviewed by ScreenIT
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Distinct Autoimmune Antibody Signatures Between Hospitalized Acute COVID-19 Patients, SARS-CoV-2 Convalescent Individuals, and Unexposed Pre-Pandemic Controls
This article has 11 authors:Reviewed by ScreenIT
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IFITM proteins promote SARS-CoV-2 infection and are targets for virus inhibition
This article has 30 authors:Reviewed by ScreenIT
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Distinct antibody responses to SARS-CoV-2 in children and adults across the COVID-19 clinical spectrum
This article has 31 authors:Reviewed by ScreenIT
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Complete Mapping of Mutations to the SARS-CoV-2 Spike Receptor-Binding Domain that Escape Antibody Recognition
This article has 20 authors:Reviewed by ScreenIT
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Human cell-dependent, directional, time-dependent changes in the mono- and oligonucleotide compositions of SARS-CoV-2 genomes
This article has 3 authors:Reviewed by ScreenIT
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A New Model of SARS-CoV-2 Infection Based on (Hydroxy) Chloroquine Activity
This article has 1 author:Reviewed by ScreenIT