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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Discovery of a AHR pelargonidin agonist that counter-regulates Ace2 expression and attenuates ACE2-SARS-CoV-2 interaction
This article has 16 authors:Reviewed by ScreenIT
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Development of a High-Throughput Homogeneous AlphaLISA Drug Screening Assay for the Detection of SARS-CoV-2 Nucleocapsid
This article has 7 authors:Reviewed by ScreenIT
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Altered O-glycosylation Level of SARS-CoV-2 Spike Protein by Host O-glycosyltransferase Strengthens Its Trimeric Structure
This article has 14 authors:Reviewed by ScreenIT
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Comparing Vaccination Strategies in Canada Under Different Assumptions
This article has 1 author:Reviewed by ScreenIT
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Evaluation of six different rapid methods for nucleic acid detection of SARS‐COV‐2 virus
This article has 7 authors:Reviewed by ScreenIT
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A Comparative COVID 19 Characterizations and Clinical Course Analysis between ICU and Non ICU Settings
This article has 13 authors:Reviewed by ScreenIT
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Clinical validation of point-of-care SARS-COV-2 BD Veritor antigen test by a single throat swab for rapid COVID-19 status on hospital patients predominantly without overt COVID symptoms
This article has 13 authors:Reviewed by ScreenIT
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Forecasting COVID-19 cases in the Philippines using various mathematical models
This article has 6 authors:Reviewed by ScreenIT
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Signatures of COVID-19 Severity and Immune Response in the Respiratory Tract Microbiome
This article has 21 authors:Reviewed by ScreenIT
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Study Pre-protocol for “BronchStart - The Impact of the COVID-19 Pandemic on the Timing, Age and Severity of Respiratory Syncytial Virus (RSV) Emergency Presentations; a Multi-Centre Prospective Observational Cohort Study”
This article has 7 authors:Reviewed by ScreenIT