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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Accuracy of emergency medical service telephone triage of need for an ambulance response in suspected COVID-19: an observational cohort study
This article has 15 authors:Reviewed by ScreenIT
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Meta-Analysis and Systematic Review of Coagulation Disbalances in COVID-19: 41 Studies and 17,601 Patients
This article has 12 authors:Reviewed by ScreenIT
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Efficient incorporation and template-dependent polymerase inhibition are major determinants for the broad-spectrum antiviral activity of remdesivir
This article has 8 authors:Reviewed by ScreenIT
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Differentiating COVID-19 and dengue from other febrile illnesses in co-epidemics: Development and internal validation of COVIDENGUE scores
This article has 10 authors:Reviewed by ScreenIT
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A rapid bead-based assay for screening of SARS-CoV-2 neutralizing antibodies
This article has 12 authors:Reviewed by ScreenIT
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Simulation and predictions of a new COVID-19 pandemic wave in Ukraine with the use of generalized SIR model
This article has 1 author:Reviewed by ScreenIT
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A high content microscopy-based platform for detecting antibodies to the nucleocapsid, spike and membrane proteins of SARS-CoV-2
This article has 17 authors:Reviewed by ScreenIT
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Molecular Evidence of Coinfection with Acute Respiratory Viruses and High Prevalence of SARS-CoV-2 among Patients Presenting Flu-Like Illness in Bukavu City, Democratic Republic of Congo
This article has 13 authors:Reviewed by ScreenIT
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Preserved T cell responses to SARS-CoV-2 in anti-CD20 treated multiple sclerosis
This article has 10 authors:Reviewed by ScreenIT
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Impact of Antibody Cocktail Therapy Combined with Casirivimab and Imdevimab on Clinical Outcome for patients with COVID-19 in A Real-Life Setting: A Single Institute Analysis
This article has 16 authors:Reviewed by ScreenIT