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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Map of SARS-CoV-2 spike epitopes not shielded by glycans
This article has 6 authors:Reviewed by ScreenIT
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A CRISPR-based SARS-CoV-2 diagnostic assay that is robust against viral evolution and RNA editing
This article has 8 authors:Reviewed by ScreenIT
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Rapid detection of SARS-CoV-2 infection by multicapillary column coupled ion mobility spectrometry (MCC-IMS) of breath. A proof of concept study
This article has 4 authors:Reviewed by ScreenIT
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Bronchoscopy in Critically Ill COVID-19 Patients
This article has 10 authors:Reviewed by ScreenIT
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HIV and risk of COVID-19 death: a population cohort study from the Western Cape Province, South Africa
This article has 1 author:Reviewed by ScreenIT
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Plasma IL-6 levels following corticosteroid therapy as an indicator of ICU length of stay in critically ill COVID-19 patients
This article has 19 authors:Reviewed by ScreenIT
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Non-Adherence Tree Analysis (NATA)—An adherence improvement framework: A COVID-19 case study
This article has 4 authors:Reviewed by ScreenIT
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Sputum ACE2, TMPRSS2 and FURIN gene expression in severe neutrophilic asthma
This article has 14 authors:Reviewed by ScreenIT
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Public attention and policy responses to COVID-19 pandemic ⋆
This article has 3 authors:Reviewed by ScreenIT
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Do Men and Women “Lockdown” Differently? Examining Panama’s Covid-19 Sex-Segregated Social Distancing Policy
This article has 2 authors:Reviewed by ScreenIT