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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Analysis of Host Immunological Response of Adenovirus-Based COVID-19 Vaccines
This article has 8 authors:Reviewed by ScreenIT
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Probing Affinity, Avidity, Anticooperativity, and Competition in Antibody and Receptor Binding to the SARS-CoV-2 Spike by Single Particle Mass Analyses
This article has 12 authors:Reviewed by ScreenIT
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Natural and Recombinant SARS-CoV-2 Isolates Rapidly Evolve In Vitro to Higher Infectivity through More Efficient Binding to Heparan Sulfate and Reduced S1/S2 Cleavage
This article has 8 authors:Reviewed by ScreenIT
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Use of the Internet and Digital Devices Among People With Severe Mental Ill Health During the COVID-19 Pandemic Restrictions
This article has 9 authors:Reviewed by ScreenIT
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Rapid protocols to support Covid-19 clinical diagnosis based on hematological parameters
This article has 14 authors:Reviewed by ScreenIT
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Breastfeeding Mother and Child Clinical Outcomes After COVID-19 Vaccination
This article has 5 authors:Reviewed by ScreenIT
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Structure and activity of human TMPRSS2 protease implicated in SARS-CoV-2 activation
This article has 14 authors:Reviewed by ScreenIT
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SARS-CoV-2 variant Delta rapidly displaced variant Alpha in the United States and led to higher viral loads
This article has 23 authors:Reviewed by ScreenIT
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Sources of variability in methods for processing, storing, and concentrating SARS-CoV-2 in influent from urban wastewater treatment plants
This article has 4 authors:Reviewed by ScreenIT
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Seroprevalence of anti-SARS-CoV-2 antibodies in women attending antenatal care in eastern Ethiopia: a facility-based surveillance
This article has 7 authors:Reviewed by ScreenIT