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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SARS-CoV-2 in-vitro neutralization assay reveals inhibition of virus entry by iota-carrageenan
This article has 4 authors:Reviewed by ScreenIT
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Shared genetic etiology between idiopathic pulmonary fibrosis and COVID-19 severity
This article has 9 authors:Reviewed by ScreenIT
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The Effect of the COVID-19 Pandemic on People with Parkinson’s Disease
This article has 9 authors:Reviewed by ScreenIT
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Remdesivir is a delayed translocation inhibitor of SARS CoV-2 replication in vitro
This article has 4 authors:Reviewed by ScreenIT
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Mathematical Modelling the Impact Evaluation of Lockdown on Infection Dynamics of COVID-19 in Italy
This article has 4 authors:Reviewed by ScreenIT
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Projecting the impact of a two-dose COVID-19 vaccination campaign in Ontario, Canada
This article has 5 authors:Reviewed by ScreenIT
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A Cross-Sectional Survey of the Workplace Factors Contributing to Symptoms of Anxiety and Depression Among Nurses and Physicians During the First Wave of COVID-19 Pandemic in Two US Healthcare Systems
This article has 2 authors:Reviewed by ScreenIT
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COVID-19 serological survey using micro blood sampling
This article has 13 authors:Reviewed by ScreenIT
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NVX-CoV2373 vaccine protects cynomolgus macaque upper and lower airways against SARS-CoV-2 challenge
This article has 13 authors:Reviewed by ScreenIT
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Production of anti-SARS-CoV-2 hyperimmune globulin from convalescent plasma
This article has 9 authors:Reviewed by ScreenIT