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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Moxidectin and Ivermectin Inhibit SARS-CoV-2 Replication in Vero E6 Cells but Not in Human Primary Bronchial Epithelial Cells
This article has 14 authors:Reviewed by ScreenIT
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The impact of COVID-19 non-pharmaceutical interventions on the lived experiences of people living in Thailand, Malaysia, Italy and the United Kingdom: A cross-country qualitative study
This article has 13 authors:Reviewed by ScreenIT
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Glucosidase inhibitors suppress SARS-CoV-2 in tissue culture and may potentiate
This article has 7 authors:Reviewed by ScreenIT
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Nanopore sequencing of SARS-CoV-2: Comparison of short and long PCR-tiling amplicon protocols
This article has 10 authors:Reviewed by ScreenIT
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Impact of the COVID-19 pandemic on the provision of routine childhood immunizations in Ontario, Canada
This article has 9 authors:Reviewed by ScreenIT
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Family responsibilities and mental health of kindergarten educators during the first COVID-19 pandemic lockdown in Ontario, Canada
This article has 4 authors:Reviewed by ScreenIT
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Siglec-1 on dendritic cells mediates SARS-CoV-2 trans -infection of target cells while on macrophages triggers proinflammatory responses
This article has 30 authors:Reviewed by ScreenIT
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The mRNA-1273 Vaccine Induces Cross-Variant Antibody Responses to SARS-CoV-2 With Distinct Profiles in Individuals With or Without Pre-Existing Immunity
This article has 11 authors:Reviewed by ScreenIT
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Plasmacytoid dendritic cells produce type I interferon and reduce viral replication in airway epithelial cells after SARS-CoV-2 infection
This article has 9 authors:Reviewed by ScreenIT
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Optimised non-coding regions of mRNA SARS-CoV-2 vaccine CV2CoV improves homogeneous and heterogenous neutralising antibody responses
This article has 8 authors:Reviewed by ScreenIT