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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Healthcare workers preparedness for COVID-19 pandemic in the occupied Palestinian territory: a cross-sectional survey
This article has 6 authors:Reviewed by ScreenIT
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Serum Protein Profiling Reveals a Landscape of Inflammation and Immune Signaling in Early-stage COVID-19 Infection
This article has 13 authors:Reviewed by ScreenIT
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A novel box for aerosol and droplet guarding and evacuation in respiratory infection (BADGER) for COVID-19 and future outbreaks
This article has 10 authors:Reviewed by ScreenIT
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SARS-CoV-2 activates lung epithelial cell proinflammatory signaling and leads to immune dysregulation in COVID-19 patients
This article has 6 authors:Reviewed by ScreenIT
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COVID-19 and Acute Kidney Injury Requiring Kidney Replacement Therapy: A Bad Prognostic Sign
This article has 4 authors:Reviewed by ScreenIT
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Association of Vitamin D Deficiency and Treatment with COVID-19 Incidence
This article has 6 authors:Reviewed by ScreenIT
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Psychological Distress Among People Losing Work During the COVID-19 Pandemic in Australia
This article has 7 authors:Reviewed by ScreenIT
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Remdesivir in Treatment of COVID-19: A Systematic Benefit–Risk Assessment
This article has 7 authors:Reviewed by ScreenIT
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Correlation between Chest Computed Tomography and Lung Ultrasonography in Patients with Coronavirus Disease 2019 (COVID-19)
This article has 9 authors:Reviewed by ScreenIT