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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A multi-class gene classifier for SARS-CoV-2 variants based on convolutional neural network
This article has 5 authors:Reviewed by ScreenIT
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Risk factors for workplace bullying, severe psychological distress, and suicidal ideation during the COVID-19 pandemic: a nationwide internet survey for the general working population in Japan
This article has 2 authors:Reviewed by ScreenIT
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Clinical outcome of neurological patients with COVID-19: the impact of healthcare organization improvement between waves
This article has 20 authors:Reviewed by ScreenIT
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Durability of SARS-CoV-2 Antibodies From Natural Infection in Children and Adolescents
This article has 19 authors:Reviewed by ScreenIT
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Healthcare workers benefit from second dose of COVID-19 mRNA vaccine: Effects of partial and full vaccination on sick leave duration and symptoms
This article has 4 authors:Reviewed by ScreenIT
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SARS-CoV-2 Convalescent Sera Binding and Neutralizing Antibody Concentrations Compared with COVID-19 Vaccine Efficacy Estimates against Symptomatic Infection
This article has 26 authors:Reviewed by ScreenIT
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Immunoglobulin G1 Fc glycosylation as an early hallmark of severe COVID-19
This article has 13 authors:Reviewed by ScreenIT
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Encounters after Appointments Cancelled Due to COVID-19 in the Veterans Affairs Health Care System
This article has 4 authors:Reviewed by ScreenIT
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A prospective study of asymptomatic SARS-CoV-2 infection among individuals involved in academic research under limited operations during the COVID-19 pandemic
This article has 17 authors:Reviewed by ScreenIT
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A SARS-CoV-2 Delta variant containing mutation in the probe binding region used for RT-qPCR test in Japan exhibited atypical PCR amplification and might induce false negative result
This article has 7 authors:Reviewed by ScreenIT