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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Effectiveness and safety of antiviral or antibody treatments for coronavirus
This article has 7 authors:Reviewed by ScreenIT
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Assessing the potential impact of COVID-19 in Brazil: Mobility, Morbidity and the burden on the Health Care System
This article has 10 authors:Reviewed by ScreenIT
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Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS)
This article has 7 authors:Reviewed by ScreenIT
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ACE-2 expression in the small airway epithelia of smokers and COPD patients: implications for COVID-19
This article has 8 authors:Reviewed by ScreenIT
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Clinical Characteristics and Reasons for Differences in Duration From Symptom Onset to Release From Quarantine Among Patients With COVID-19 in Liaocheng, China
This article has 14 authors:Reviewed by ScreenIT
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Effectiveness of convalescent plasma therapy in severe COVID-19 patients
This article has 48 authors:Reviewed by ScreenIT
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Cross-reaction of Sera from COVID-19 Patients with SARS-CoV Assays
This article has 3 authors:Reviewed by ScreenIT
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Epidemiological and Clinical Characteristics of Coronavirus Disease 2019 in Shenzhen, the Largest Migrant City of China
This article has 13 authors:Reviewed by ScreenIT
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A Tempo-geographic Analysis of Global COVID-19 Epidemic Outside of China
This article has 7 authors:Reviewed by ScreenIT