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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Aerosol and surface contamination of SARS-CoV-2 observed in quarantine and isolation care
This article has 13 authors:Reviewed by ScreenIT
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Genomic and Phenotypic Analysis of COVID-19-Associated Pulmonary Aspergillosis Isolates of Aspergillus fumigatus
This article has 17 authors:Reviewed by ScreenIT
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A Framework for SARS-CoV-2 Testing on a Large University Campus: Statistical Considerations
This article has 2 authors:Reviewed by ScreenIT
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Trust and transparency in times of crisis: Results from an online survey during the first wave (April 2020) of the COVID-19 epidemic in the UK
This article has 8 authors:Reviewed by ScreenIT
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A 3D structural SARS-CoV-2–human interactome to explore genetic and drug perturbations
This article has 9 authors:Reviewed by ScreenIT
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Endothelial Cell–Activating Antibodies in COVID‐19
This article has 16 authors:Reviewed by ScreenIT
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Number of tests required to flatten the curve of coronavirus disease-2019
This article has 4 authors:Reviewed by ScreenIT
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Real-life validation of the Panbio™ COVID-19 antigen rapid test (Abbott) in community-dwelling subjects with symptoms of potential SARS-CoV-2 infection
This article has 10 authors:Reviewed by ScreenIT
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COVID-19 Knowledge, Attitudes, and Practices Among People in Bangladesh: Telephone-Based Cross-sectional Survey
This article has 6 authors:Reviewed by ScreenIT
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Impact of stopping therapy during the SARS-CoV-2 pandemic in persons with lymphoma
This article has 6 authors:Reviewed by ScreenIT