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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Decreased Stroke, Acute Coronary Syndrome, and Corresponding Interventions at 65 US Hospitals Following COVID-19
This article has 10 authors:Reviewed by ScreenIT
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Profiling of lung SARS-CoV-2 and influenza virus infection dissects virus-specific host responses and gene signatures
This article has 21 authors:Reviewed by ScreenIT
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Excess mortality during the COVID-19 pandemic: a geospatial and statistical analysis in Aden governorate, Yemen
This article has 9 authors:Reviewed by ScreenIT
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Early transmission dynamics and control of COVID-19 in a southern hemisphere setting: Lima-Peru, February 29 th -March 30 th , 2020
This article has 10 authors:Reviewed by ScreenIT
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Symptoms of Anxiety and Depression in Relation to Work Patterns During the First Wave of the COVID-19 Epidemic in Philadelphia PA
This article has 2 authors:Reviewed by ScreenIT
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Insight into the practical performance of RT-PCR testing for SARS-CoV-2 using serological data: a cohort study
This article has 15 authors:Reviewed by ScreenIT
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Measuring Icebergs: Using Different Methods to Estimate the Number of COVID-19 Cases in Portugal and Spain
This article has 10 authors:Reviewed by ScreenIT
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Potent mouse monoclonal antibodies that block SARS-CoV-2 infection
This article has 8 authors:Reviewed by ScreenIT
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Neutralizing and protective human monoclonal antibodies recognizing the N-terminal domain of the SARS-CoV-2 spike protein
This article has 19 authors:Reviewed by ScreenIT
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A single dose of self-transcribing and replicating RNA-based SARS-CoV-2 vaccine produces protective adaptive immunity in mice
This article has 33 authors:Reviewed by ScreenIT