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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Predictors of self-reported symptoms and testing for COVID-19 in Canada using a nationally representative survey
This article has 9 authors:Reviewed by ScreenIT
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A data driven epidemic model to analyse the lockdown effect and predict the course of COVID-19 progress in India
This article has 2 authors:Reviewed by ScreenIT
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Age differences in clinical features and outcomes in patients with COVID-19, Jiangsu, China: a retrospective, multicentre cohort study
This article has 7 authors:Reviewed by ScreenIT
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Detection of neutralizing antibodies against multiple SARS-CoV-2 strains in dried blood spots using cell-free PCR
This article has 24 authors:Reviewed by ScreenIT
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Willingness to Accept Trade-Offs Among COVID-19 Cases, Social-Distancing Restrictions, and Economic Impact: A Nationwide US Study
This article has 3 authors:Reviewed by ScreenIT
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Environmental Contamination of SARS-CoV-2 in a Non-Healthcare Setting
This article has 10 authors:Reviewed by ScreenIT
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Optimizing the molecular diagnosis of Covid-19 by combining RT-PCR and a pseudo-convolutional machine learning approach to characterize virus DNA sequences
This article has 10 authors:Reviewed by ScreenIT
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INSIGHT: a population scale COVID-19 testing strategy combining point-of-care diagnosis with centralised high-throughput sequencing
This article has 6 authors:Reviewed by ScreenIT
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HiDRA-seq: High-Throughput SARS-CoV-2 Detection by RNA Barcoding and Amplicon Sequencing
This article has 9 authors:Reviewed by ScreenIT
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System Dynamics Modeling of Within-Host Viral Kinetics of Coronavirus (SARS CoV-2)
This article has 1 author:Reviewed by ScreenIT