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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High Rate of Asymptomatic Carriage Associated with Variant Strain Omicron
This article has 15 authors:Reviewed by ScreenIT
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Antibody therapy reverses biological signatures of COVID-19 progression
This article has 23 authors:Reviewed by ScreenIT
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Home Monitoring for Fever: An Inexpensive Screening Method to Prevent Household Spread of COVID-19
This article has 6 authors:Reviewed by ScreenIT
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Interpretable and Predictive Deep Neural Network Modeling of the SARS-CoV-2 Spike Protein Sequence to Predict COVID-19 Disease Severity
This article has 3 authors:Reviewed by ScreenIT
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Waning of SARS-CoV-2 booster viral-load reduction effectiveness
This article has 9 authors:Reviewed by ScreenIT
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Humoral and cellular immune responses to SARS CoV-2 vaccination in People with Multiple Sclerosis and NMOSD patients receiving immunomodulatory treatments
This article has 8 authors:Reviewed by ScreenIT
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Emergence in southern France of a new SARS-CoV-2 variant harbouring both N501Y and E484K substitutions in the spike protein
This article has 10 authors:Reviewed by ScreenIT
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Detection of the Omicron Variant Virus With the Abbott BinaxNow SARS-CoV-2 Rapid Antigen Assay
This article has 10 authors:Reviewed by ScreenIT
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Replacement of the Gamma by the Delta variant in Brazil: Impact of lineage displacement on the ongoing pandemic
This article has 28 authors:Reviewed by ScreenIT
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Household transmission of the SARS-CoV-2 Omicron variant in Denmark
This article has 19 authors:Reviewed by ScreenIT