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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Mask Reuse in the COVID-19 Pandemic: Creating an Inexpensive and Scalable Ultraviolet System for Filtering Facepiece Respirator Decontamination
This article has 10 authors:Reviewed by ScreenIT
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Longitudinal analysis of T cell receptor repertoires reveals shared patterns of antigen-specific response to SARS-CoV-2 infection
This article has 29 authors:Reviewed by ScreenIT
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Routine saliva testing for the identification of silent coronavirus disease 2019 (COVID-19) in healthcare workers
This article has 6 authors:Reviewed by ScreenIT
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Cryo-EM Structures of the N501Y SARS-CoV-2 Spike Protein in Complex with ACE2 and Two Potent Neutralizing Antibodies
This article has 13 authors:Reviewed by ScreenIT
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Reproductive Maternal and Newborn Health Providers’ Assessment of Facility Preparedness and Its Determinants during the COVID-19 Pandemic in Lagos, Nigeria
This article has 5 authors:Reviewed by ScreenIT
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COVID-19 in New York state: Effects of demographics and air quality on infection and fatality
This article has 7 authors:Reviewed by ScreenIT
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Probabilistic analysis of COVID-19 patients’ individual length of stay in Swiss intensive care units
This article has 6 authors:Reviewed by ScreenIT
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Impact of COVID-19 related lockdown on cognition and emotion: A pilot study
This article has 3 authors:Reviewed by ScreenIT
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AncestryDNA COVID-19 Host Genetic Study Identifies Three Novel Loci
This article has 16 authors:Reviewed by ScreenIT
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Exploring the correlation between COVID-19 fatalities and poor WASH (Water, Sanitation and Hygiene) services
This article has 2 authors:Reviewed by ScreenIT