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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Simulation of Non-Pharmaceutical Interventions on COVID-19 with an Agent-based Model of Zonal Restraint
This article has 2 authors:Reviewed by ScreenIT
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Frequent testing and immunity-based staffing will help mitigate outbreaks in nursing home settings
This article has 5 authors:Reviewed by ScreenIT
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Severe Acute Respiratory Syndrome Coronavirus 2 in Farmed Mink ( Neovison vison ), Poland
This article has 8 authors:Reviewed by ScreenIT
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Ambroxol and Ciprofloxacin Show Activity Against SARS-CoV2 in Vero E6 Cells at Clinically-Relevant Concentrations
This article has 6 authors:Reviewed by ScreenIT
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Adherence to protective measures among healthcare workers in the UK: a cross-sectional study
This article has 5 authors:Reviewed by ScreenIT
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SARS‐CoV‐2 infection as a trigger of humoral response against apolipoprotein A‐1
This article has 21 authors:Reviewed by ScreenIT
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Lactoferrin as potential supplementary nutraceutical agent in COVID-19 patients: in vitro and in vivo preliminary evidences
This article has 24 authors:Reviewed by ScreenIT
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Herd immunity vs suppressed equilibrium in COVID-19 pandemic: different goals require different models for tracking
This article has 4 authors:Reviewed by ScreenIT
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Hepatitis C Virus Protease Inhibitors Show Differential Efficacy and Interactions with Remdesivir for Treatment of SARS-CoV-2 In Vitro
This article has 13 authors:Reviewed by ScreenIT
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Reorganization of Substance Use Treatment and Harm Reduction Services During the COVID-19 Pandemic: A Global Survey
This article has 17 authors:Reviewed by ScreenIT