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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Elicitation of potent SARS-CoV-2 neutralizing antibody responses through immunization with a versatile adenovirus-inspired multimerization platform
This article has 16 authors:Reviewed by ScreenIT
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The clinically extremely vulnerable to COVID: Identification and changes in healthcare while self-isolating (shielding) during the coronavirus pandemic
This article has 11 authors:Reviewed by ScreenIT
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Molecular point-of-care testing for SARS-CoV-2 using the ID NOW™ System in Emergency Department: Prospective Evaluation and Implementation in the Care Process
This article has 5 authors:Reviewed by ScreenIT
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Determinants of hospital outcomes for patients with COVID-19 in the University of Pennsylvania Health System
This article has 7 authors:Reviewed by ScreenIT
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Rehabilitation in Survivors of COVID-19 (RE2SCUE): a nonrandomized, controlled, and open protocol
This article has 9 authors:Reviewed by ScreenIT
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Vaccinations or Non-Pharmaceutical Interventions: Safe Reopening of Schools in England
This article has 12 authors:Reviewed by ScreenIT
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Durability of the Single-Dose Ad26.COV2.S Vaccine in the Prevention of COVID-19 Infections and Hospitalizations in the US Before and During the Delta Variant Surge
This article has 10 authors:Reviewed by ScreenIT
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Design of T cell epitope-based vaccine candidate for SARS-CoV-2 targeting nucleocapsid and spike protein escape variants
This article has 4 authors:Reviewed by ScreenIT
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Change in Measles Vaccine Coverage and Estimated Impact on Measles Mortality in Low and Middle Income Countries, 2020: An Investigation into Secondary Public Health Effects of the COVID-19 Pandemic Using the Lives Saved Tool
This article has 1 author:Reviewed by ScreenIT
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University of Texas at Arlington (UTA) In-House Covid-19 Testing Program
This article has 7 authors:Reviewed by ScreenIT