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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Estimating clinical SARS-CoV-2 infectiousness in Vero E6 and primary airway epithelial cells
This article has 6 authors:Reviewed by ScreenIT
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Rapid Screening of COVID-19 Directly from Clinical Nasopharyngeal Swabs Using the MasSpec Pen
This article has 23 authors:Reviewed by ScreenIT
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Garcinia kola and garcinoic acid suppress SARS‐CoV ‐2 spike glycoprotein S1 ‐induced hyper‐inflammation in human PBMCs through inhibition of NF‐κB activation
This article has 7 authors:Reviewed by ScreenIT
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Spectrum of neurological manifestations and systematic evaluation of cerebrospinal fluid for SARS-CoV2 in patients admitted to hospital during the COVID-19 epidemic in South Africa
This article has 12 authors:Reviewed by ScreenIT
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Bidirectional genome-wide CRISPR screens reveal host factors regulating SARS-CoV-2, MERS-CoV and seasonal HCoVs
This article has 23 authors:Reviewed by ScreenIT
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Analysis of the Second COVID-19 Wave in India Using a Birth-Death Model
This article has 1 author:Reviewed by ScreenIT
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Cancer and the risk of coronavirus disease 2019 diagnosis, hospitalisation and death: A population‐based multistate cohort study including 4 618 377 adults in Catalonia, Spain
This article has 11 authors:Reviewed by ScreenIT
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A CRISPR/Cas9 genetically engineered organoid biobank reveals essential host factors for coronaviruses
This article has 16 authors:Reviewed by ScreenIT
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Acute SARS-CoV-2 infection is associated with an increased abundance of bacterial pathogens, including Pseudomonas aeruginosa in the nose
This article has 8 authors:Reviewed by ScreenIT
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A COVID-19 Community Vulnerability Index to drive precision policy in the US
This article has 9 authors:Reviewed by ScreenIT