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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Rapid Assessment of COVID-19 Mortality Risk with GASS Classifiers
This article has 8 authors:Reviewed by ScreenIT
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Using patient biomarker time series to determine mortality risk in hospitalised COVID-19 patients: A comparative analysis across two New York hospitals
This article has 5 authors:Reviewed by ScreenIT
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PROBABILITY OF HOSPITALIZATION AND DEATH AMONG COVID-19 PATIENTS WITH COMORBIDITY DURING OUTBREAKS OCCURRING IN MEXICO CITY
This article has 14 authors:Reviewed by ScreenIT
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Deviations in Predicted COVID-19 cases in the US during early months of 2021 relate to rise in B.1.526 and its family of variants
This article has 8 authors:Reviewed by ScreenIT
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COVID-19 Vaccine Hesitancy among Patients with Inflammatory Bowel Disease Receiving Biologic Therapies in Kuwait: A Cross-Sectional Study
This article has 5 authors:Reviewed by ScreenIT
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A prospective evaluation of diagnostic performance of a combo rapid antigen test QuickNavi-Flu+COVID19 Ag
This article has 13 authors:Reviewed by ScreenIT
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First and Second Wave Dynamics of Emergency Department Utilization during the COVID-19 Pandemic: a retrospective study
This article has 6 authors:Reviewed by ScreenIT
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SARS-CoV-2 antibody trajectories after a single COVID-19 vaccination with and without prior infection
This article has 79 authors:Reviewed by ScreenIT
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Mortality trends and length of stays among hospitalized patients with COVID-19 in Ontario and Québec (Canada): a population-based cohort study of the first three epidemic waves
This article has 11 authors:Reviewed by ScreenIT
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Opening up safely: public health system requirements for ongoing COVID-19 management based on evaluation of Australia’s surveillance system performance
This article has 7 authors:Reviewed by ScreenIT