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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Statistics of antibody binding to the spike protein explain the dependence of COVID 19 infection risk on antibody concentration and affinity
This article has 1 author:Reviewed by ScreenIT
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Deep autoencoder for interpretable tissue-adaptive deconvolution and cell-type-specific gene analysis
This article has 10 authors:Reviewed by ScreenIT
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Visceral Fat Inflammation and Fat Embolism are associated with Lung’s Lipidic Hyaline Membranes in COVID-19 patients
This article has 16 authors:Reviewed by ScreenIT
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Marked enhancement of neutralizing antibody and IFN-γ T-cell responses by GX-19N DNA booster in mice primed with inactivated vaccine
This article has 6 authors:Reviewed by ScreenIT
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C-reactive protein and lactate dehydrogenase as prognostic indicators in COVID-2019 outpatients
This article has 5 authors:Reviewed by ScreenIT
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SARS-CoV-2 Delta Variant Displays Moderate Resistance to Neutralizing Antibodies and Spike Protein Properties of Higher Soluble ACE2 Sensitivity, Enhanced Cleavage and Fusogenic Activity
This article has 11 authors:Reviewed by ScreenIT
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Impact of the COVID-19 Pandemic on Community Antibiotic Prescribing and Stewardship: A Qualitative Interview Study with General Practitioners in England
This article has 12 authors:Reviewed by ScreenIT
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Prolonged and extended impacts of SARS-CoV-2 on the olfactory neurocircuit
This article has 11 authors:Reviewed by ScreenIT
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Transmission potential of vaccinated and unvaccinated persons infected with the SARS-CoV-2 Delta variant in a federal prison, July—August 2021
This article has 29 authors:Reviewed by Rapid Reviews Infectious Diseases, NCRC, ScreenIT
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Molecular signature of postmortem lung tissue from COVID-19 patients suggests distinct trajectories driving mortality
This article has 19 authors:Reviewed by ScreenIT