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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Recovery of monocyte exhaustion is associated with resolution of lung injury in COVID-19 convalescence
This article has 34 authors:Reviewed by ScreenIT
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ESCAPE: An Open-Label Trial of Personalized Immunotherapy in Critically lll COVID-19 Patients
This article has 32 authors:Reviewed by ScreenIT
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Predicting COVID-19 (Coronavirus Disease) Outbreak Dynamics Using SIR-based Models: Comparative Analysis of SIRD and Weibull-SIRD
This article has 2 authors:Reviewed by ScreenIT
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Longitudinal analysis reveals that delayed bystander CD8+ T cell activation and early immune pathology distinguish severe COVID-19 from mild disease
This article has 37 authors:Reviewed by ScreenIT
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Early Measurement of Blood sST2 Is a Good Predictor of Death and Poor Outcomes in Patients Admitted for COVID-19 Infection
This article has 9 authors:Reviewed by ScreenIT
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What is the uncertainty in efficacy of COVID-19 vaccines? A Bayesian analysis
This article has 1 author:Reviewed by ScreenIT
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Discovery of a SARS-CoV-2 variant from the P.1 lineage harboring K417T/E484K/N501Y mutations in Kofu, Japan
This article has 2 authors:Reviewed by ScreenIT
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Covid-19 pandemic lessons: uncritical communication of test results can induce more harm than benefit and raises questions on standardized quality criteria for communication and liability
This article has 4 authors:Reviewed by ScreenIT
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Estimating Preventable COVID-19 Infections Related to Elective Outpatient Surgery in Washington State: A Quantitative Model
This article has 2 authors:Reviewed by ScreenIT
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Safety of “hot” and “cold” site admissions within a high‐volume urology department in the United Kingdom at the peak of the COVID‐19 pandemic
This article has 60 authors:Reviewed by ScreenIT