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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Sterilizing Immunity against SARS‐CoV‐2 Infection in Mice by a Single‐Shot and Lipid Amphiphile Imidazoquinoline TLR7/8 Agonist‐Adjuvanted Recombinant Spike Protein Vaccine**
This article has 22 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Psychological distress during the COVID-19 epidemic in Chile: The role of economic uncertainty
This article has 2 authors:Reviewed by ScreenIT
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A Cluster-Randomized Trial of Hydroxychloroquine for Prevention of Covid-19
This article has 49 authors:Reviewed by ScreenIT
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P0: Progress to zero: A simple metric to measure COVID-19 progress by country/region
This article has 3 authors:Reviewed by ScreenIT
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COVID-19 Pandemic in Pakistan: Stages and Recommendations
This article has 1 author:Reviewed by ScreenIT
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Resolvin D1 and D2 reduce SARS‐CoV‐2‐induced inflammatory responses in cystic fibrosis macrophages
This article has 9 authors:Reviewed by ScreenIT
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Reduced Mortality During Holidays and the COVID-19 Pandemic in Israel
This article has 6 authors:Reviewed by ScreenIT
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Lessons drawn from China and South Korea for managing COVID-19 epidemic: Insights from a comparative modeling study
This article has 10 authors:Reviewed by ScreenIT
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Depression and anxiety before and during the COVID-19 lockdown: a longitudinal cohort study with university students
This article has 4 authors:Reviewed by ScreenIT
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Anxiety and media exposure during COVID-19 outbreak in Kuwait
This article has 3 authors:Reviewed by ScreenIT