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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IgG Seroconversion and Pathophysiology in Severe Acute Respiratory Syndrome Coronavirus 2 Infection
This article has 40 authors:Reviewed by ScreenIT
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The Longest Persistence of Viable SARS-CoV-2 With Recurrence of Viremia and Relapsing Symptomatic COVID-19 in an Immunocompromised Patient—A Case Study
This article has 22 authors:Reviewed by ScreenIT
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Design of Specific Primer Sets for the Detection of SARS-CoV-2 Variants of Concern B.1.1.7, B.1.351, P.1, B.1.617.2 using Artificial Intelligence
This article has 10 authors:Reviewed by ScreenIT
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Monitoring for COVID-19 by universal testing in a homeless shelter in Germany: a prospective feasibility cohort study
This article has 15 authors:Reviewed by ScreenIT
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Dysregulated immunity in SARS-CoV-2 infected pregnant women
This article has 23 authors:Reviewed by ScreenIT
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Patterns and persistence of SARS-CoV-2 IgG antibodies in Chicago to monitor COVID-19 exposure
This article has 17 authors:Reviewed by ScreenIT
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Memory-Dependent Model for the Dynamics of COVID-19 Pandemic
This article has 3 authors:Reviewed by ScreenIT
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In-house assembled protective devices in laboratory safety against SARS-nCoV-2 in clinical biochemistry laboratory of a COVID dedicated hospital
This article has 7 authors:Reviewed by ScreenIT
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A Quantitative Evaluation of COVID-19 Epidemiological Models
This article has 7 authors:Reviewed by ScreenIT
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Timeliness of provisional United States mortality data releases during the COVID-19 pandemic: delays associated with electronic death registration system and weekly mortality
This article has 4 authors:Reviewed by ScreenIT