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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Potent universal-coronavirus therapeutic activity mediated by direct respiratory administration of a Spike S2 domain-specific human neutralizing monoclonal antibody
This article has 17 authors:Reviewed by ScreenIT
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Discovery of Potent Pyrazoline‐Based Covalent SARS‐CoV‐2 Main Protease Inhibitors**
This article has 23 authors:Reviewed by ScreenIT
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Low expression of EXOSC2 protects against clinical COVID-19 and impedes SARS-CoV-2 replication
This article has 20 authors:Reviewed by ScreenIT
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Soluble P2X7 receptor is elevated in the plasma of COVID-19 patients and correlates with disease severity
This article has 8 authors:Reviewed by ScreenIT
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A systematic review about skin lesions in children affected by Coronavirus Disease 2019 (excluding multisystem inflammatory syndrome in children): study protocol
This article has 8 authors:Reviewed by ScreenIT
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Safety and Immunogenicity of a 100 μg mRNA-1273 Vaccine Booster for Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2)
This article has 13 authors:Reviewed by ScreenIT
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Severity of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection in Pregnancy in Ontario: A Matched Cohort Analysis
This article has 5 authors:Reviewed by ScreenIT
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Protective antibodies and T cell responses to Omicron variant after the booster dose of BNT162b2 vaccine
This article has 17 authors:Reviewed by ScreenIT
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Patients at risk of pulmonary fibrosis Post Covid-19: Epidemiology, pulmonary sequelaes and humoral response
This article has 8 authors:Reviewed by ScreenIT
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Proteome reveals antiviral host response and NETosis during acute COVID-19 in high-risk patients
This article has 18 authors:Reviewed by ScreenIT