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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Bronchial epithelia from adults and children: SARS-CoV-2 spread via syncytia formation and type III interferon infectivity restriction
This article has 20 authors:Reviewed by ScreenIT
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Estimating the SARS-CoV-2 infected population fraction and the infection-to-fatality ratio: a data-driven case study based on Swedish time series data
This article has 6 authors:Reviewed by ScreenIT
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Correlation of vaccine‐elicited antibody levels and neutralizing activities against SARS‐CoV‐2 and its variants
This article has 14 authors:Reviewed by ScreenIT
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PROMIS scales for assessment of the impact of post-COVID syndrome: A Cross Sectional Study
This article has 7 authors:Reviewed by ScreenIT
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Evaluation of the SARS-CoV-2 Antibody Response to the BNT162b2 Vaccine in Patients Undergoing Hemodialysis
This article has 21 authors:Reviewed by ScreenIT
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Development and validation of a population-based risk stratification model for severe COVID-19 in the general population
This article has 11 authors:Reviewed by ScreenIT
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Emergence of a new SARS-CoV-2 variant from GR clade with a novel S glycoprotein mutation V1230L in West Bengal, India
This article has 7 authors:Reviewed by ScreenIT
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Impaired function and delayed regeneration of dendritic cells in COVID-19
This article has 22 authors:Reviewed by ScreenIT
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Single-Molecule Dynamics of SARS-CoV-2 5’ Cap Recognition by Human eIF4F
This article has 4 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Reduced sensitivity of infectious SARS-CoV-2 variant B.1.617.2 to monoclonal antibodies and sera from convalescent and vaccinated individuals
This article has 29 authors:Reviewed by ScreenIT