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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Disease control as an optimization problem
This article has 3 authors:Reviewed by ScreenIT
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Assessing the risk of spread of COVID-19 to the Asia Pacific region
This article has 7 authors:Reviewed by ScreenIT
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Pooling of samples to optimize SARS-CoV-2 diagnosis by RT-qPCR: comparative analysis of two protocols
This article has 7 authors:Reviewed by ScreenIT
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Estimating the total size of coronavirus epidemic in Algeria via different approaches
This article has 1 author:Reviewed by ScreenIT
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Serological Test to Determine Exposure to SARS-CoV-2: ELISA Based on the Receptor-Binding Domain of the Spike Protein (S-RBDN318-V510) Expressed in Escherichia coli
This article has 11 authors:Reviewed by ScreenIT
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LazySampling and LinearSampling: fast stochastic sampling of RNA secondary structure with applications to SARS-CoV-2
This article has 5 authors:Reviewed by ScreenIT
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Simulating the impact of different vaccination policies on the COVID-19 pandemic in New York City
This article has 3 authors:Reviewed by ScreenIT
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Clinical Evaluation of BD Veritor SARS-CoV-2 Point-of-Care Test Performance Compared to PCR-Based Testing and versus the Sofia 2 SARS Antigen Point-of-Care Test
This article has 15 authors:Reviewed by ScreenIT
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Using Administrative Data to Incorporate Age and Sex-Dependent Resource Use for COVID-19 Acute Care Resource Use Simulations in Ontario, Canada
This article has 8 authors:Reviewed by ScreenIT
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A multi-centre prospective study of COVID-19 transmission following outpatient Gastrointestinal Endoscopy in the United Kingdom
This article has 5 authors:Reviewed by ScreenIT