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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Dysregulated Immune Responses in COVID-19 Patients Correlating With Disease Severity and Invasive Oxygen Requirements
This article has 24 authors:Reviewed by ScreenIT
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The Nuts and Bolts of SARS-CoV-2 Spike Receptor-Binding Domain Heterologous Expression
This article has 13 authors:Reviewed by ScreenIT
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Efficacy of two doses of COVID-19 vaccine against severe COVID-19 in those with risk conditions and residual risk to the clinically extremely vulnerable: the REACT-SCOT case-control study
This article has 8 authors:Reviewed by ScreenIT
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Adverse reactions to BNT162b2 mRNA COVID-19 vaccine in medical staff with a history of allergy
This article has 8 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Aging‐related cell type‐specific pathophysiologic immune responses that exacerbate disease severity in aged COVID‐19 patients
This article has 10 authors:Reviewed by ScreenIT
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COVID-19 Convalescent Plasma and Clinical Trials: Understanding Conflicting Outcomes
This article has 7 authors:Reviewed by ScreenIT
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Synthetic multiantigen MVA vaccine COH04S1 protects against SARS-CoV-2 in Syrian hamsters and non-human primates
This article has 21 authors:Reviewed by ScreenIT
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Neutralizing antibody-independent immunity to SARS-CoV-2 in hamsters and hACE-2 transgenic mice immunized with a RBD/Nucleocapsid fusion protein
This article has 26 authors:Reviewed by ScreenIT
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Dual domain recognition determines SARS-CoV-2 PLpro selectivity for human ISG15 and K48-linked di-ubiquitin
This article has 13 authors:Reviewed by ScreenIT
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Reduced levels of convalescent neutralizing antibodies against SARS-CoV-2 B.1+L249S+E484K lineage
This article has 9 authors:Reviewed by ScreenIT