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 SIRD model applied to COVID-19 dynamics and intervention strategies during the first wave in Kenya
This article has 3 authors:Reviewed by ScreenIT
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Sensitive visualization of SARS-CoV-2 RNA with CoronaFISH
This article has 15 authors:Reviewed by ScreenIT
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Safety and immunogenicity of one versus two doses of the COVID-19 vaccine BNT162b2 for patients with cancer: interim analysis of a prospective observational study
This article has 44 authors:Reviewed by ScreenIT
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Neutralization of SARS-CoV-2 lineage B.1.1.7 pseudovirus by BNT162b2 vaccine–elicited human sera
This article has 12 authors:Reviewed by ScreenIT
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Increased vulnerability to SARS-CoV-2 infection among indigenous people living in the urban area of Manaus
This article has 11 authors:Reviewed by ScreenIT
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Clinical Course and Risk Factors for In-Hospital Mortality of 205 Patients with SARS-CoV-2 Pneumonia in Como, Lombardy Region, Italy
This article has 16 authors:Reviewed by ScreenIT
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Diagnostic Accuracy of SARS-CoV-2 Rapid Antigen Detection Testing in Symptomatic and Asymptomatic Children in the Clinical Setting
This article has 13 authors:Reviewed by ScreenIT
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B.1.1.7 became the dominant variant in Lebanon
This article has 13 authors:Reviewed by ScreenIT
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Detection of SARS-CoV-2 antibodies formed in response to the BNT162b2 and mRNA-1237 mRNA vaccine by commercial antibody tests
This article has 11 authors:Reviewed by ScreenIT
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Low dose inocula of SARS-CoV-2 B.1.1.7 variant initiate more robust infections in the upper respiratory tract of hamsters than earlier D614G variants
This article has 15 authors:Reviewed by ScreenIT