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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Specific Detection of SARS-CoV-2 Variants B.1.1.7 (Alpha) and B.1.617.2 (Delta) Using a One-Step Quantitative PCR Assay
This article has 17 authors:Reviewed by ScreenIT
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R346K Mutation in the Mu Variant of SARS-CoV-2 Alters the Interactions with Monoclonal Antibodies from Class 2: A Free Energy Perturbation Study
This article has 1 author:Reviewed by ScreenIT
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A SARS-CoV-2 variant elicits an antibody response with a shifted immunodominance hierarchy
This article has 14 authors:Reviewed by ScreenIT
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Modelling airborne transmission of SARS-CoV-2 using CARA: risk assessment for enclosed spaces
This article has 10 authors:Reviewed by ScreenIT
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Differentiation of Individuals Previously Infected with and Vaccinated for SARS-CoV-2 in an Inner-City Emergency Department
This article has 20 authors:Reviewed by ScreenIT
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Reliability of multi-site UK Biobank MRI brain phenotypes for the assessment of neuropsychiatric complications of SARS-CoV-2 infection: The COVID-CNS travelling heads study
This article has 33 authors:Reviewed by ScreenIT
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Modelling the effect of COVID-19 mass vaccination on acute hospital admissions
This article has 4 authors:Reviewed by ScreenIT
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Social and mental health risks faced by undocumented migrants during the COVID-19 pandemic: Evidence from three surveys in France
This article has 10 authors:Reviewed by ScreenIT
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COVID-19 and Mental Health: Predicted Mental Health Status is Associated with Clinical Symptoms and Pandemic-Related Psychological and Behavioral Responses
This article has 9 authors:Reviewed by ScreenIT
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Modeling and analysis of COVID-19 infected persons during repeated waves in Japan
This article has 1 author:Reviewed by ScreenIT