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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Seroprevalence of anti-SARS-CoV-2 antibodies in a cohort of New York City metro blood donors using multiple SARS-CoV-2 serological assays: Implications for controlling the epidemic and “Reopening”
This article has 19 authors:Reviewed by ScreenIT
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Characterizing super-spreading events and age-specific infectiousness of SARS-CoV-2 transmission in Georgia, USA
This article has 6 authors:Reviewed by ScreenIT
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Modeling the effect of lockdown timing as a COVID-19 control measure in countries with differing social contacts
This article has 8 authors:Reviewed by ScreenIT
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Toward Respiratory Support of Critically Ill COVID-19 Patients Using Repurposed Kidney Hollow Fiber Membrane Dialysers to Oxygenate the Blood
This article has 8 authors:Reviewed by ScreenIT
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Improving Fabric Face Masks: Impact of Design Features on the Protection Offered by Fabric Face Masks
This article has 5 authors:Reviewed by ScreenIT
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Analytical and diagnostic performances of a high-throughput immunoassay for SARS-CoV-2 IgM and IgG
This article has 4 authors:Reviewed by ScreenIT
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Metamorphosis of COVID-19 Pandemic
This article has 1 author:Reviewed by ScreenIT
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Hallmarks of Alpha- and Betacoronavirus non-structural protein 7+8 complexes
This article has 13 authors:Reviewed by ScreenIT
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COVID-19 pandemic experiences of parents caring for children with oesophageal atresia/tracheo-oesophageal fistula
This article has 5 authors:Reviewed by ScreenIT
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Social Heterogeneity Drives Complex Patterns of the COVID-19 Pandemic: Insights From a Novel Stochastic Heterogeneous Epidemic Model (SHEM)
This article has 2 authors:Reviewed by ScreenIT