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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Analytical and clinical comparison of Viasure (CerTest Biotec) and 2019-nCoV CDC (IDT) RT-qPCR kits for SARS-CoV2 diagnosis.
This article has 6 authors:Reviewed by ScreenIT
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Cost effective reusable gowns for routine use in hospital and laboratory: a necessity arising of COVID-19 Pandemic
This article has 4 authors:Reviewed by ScreenIT
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Molecular dynamics and in silico mutagenesis on the reversible inhibitor-bound SARS-CoV-2 main protease complexes reveal the role of lateral pocket in enhancing the ligand affinity
This article has 6 authors:Reviewed by ScreenIT
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Characteristics and Factors Associated With Coronavirus Disease 2019 Infection, Hospitalization, and Mortality Across Race and Ethnicity
This article has 11 authors:Reviewed by ScreenIT
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Addressing the COVID-19 transmission in inner Brazil by a mathematical model
This article has 4 authors:Reviewed by ScreenIT
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Laboratory biomarkers associated with COVID-19 severity and management
This article has 15 authors:Reviewed by ScreenIT
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Coiled-coil heterodimers with increased stability for cellular regulation and sensing SARS-CoV-2 spike protein-mediated cell fusion
This article has 7 authors:Reviewed by ScreenIT
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Assessment & mitigation of O2 therapy driven spread of COVID-19
This article has 8 authors:Reviewed by ScreenIT
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Comparative effects of viral-transport-medium heat inactivation upon downstream SARS-CoV-2 detection in patient samples
This article has 17 authors:Reviewed by ScreenIT
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Severity Assessment and Progression Prediction of COVID-19 Patients Based on the LesionEncoder Framework and Chest CT
This article has 14 authors:Reviewed by ScreenIT