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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Rapid isothermal amplification and portable detection system for SARS-CoV-2
This article has 10 authors:Reviewed by ScreenIT
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COVID-19 Lockdowns May Reduce Resistance Genes Diversity in the Human Microbiome and the Need for Antibiotics
This article has 6 authors:Reviewed by ScreenIT
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Quantification of the spread of SARS-CoV-2 variant B.1.1.7 in Switzerland
This article has 52 authors:Reviewed by ScreenIT
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Prophylactic and Therapeutic Inhibition of In Vitro SARS-CoV-2 Replication by Oleandrin
This article has 9 authors:Reviewed by ScreenIT
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Inferring the stabilization effects of SARS-CoV-2 variants on the binding with ACE2 receptor
This article has 9 authors:Reviewed by ScreenIT
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Soluble angiotensin‐converting enzyme 2 is transiently elevated in COVID‐19 and correlates with specific inflammatory and endothelial markers
This article has 9 authors:Reviewed by ScreenIT
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Comparable Environmental Stability and Disinfection Profiles of the Currently Circulating SARS-CoV-2 Variants of Concern B.1.1.7 and B.1.351
This article has 11 authors:Reviewed by ScreenIT
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A measles-vectored COVID-19 vaccine induces long-term immunity and protection from SARS-CoV-2 challenge in mice
This article has 16 authors:Reviewed by ScreenIT
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An enveloped virus-like particle vaccine expressing a stabilized prefusion form of the SARS-CoV-2 spike protein elicits highly potent immunity
This article has 13 authors:Reviewed by ScreenIT
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The risks and benefits of providing HIV services during the COVID-19 pandemic
This article has 10 authors:Reviewed by ScreenIT