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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Neutralising antibody titres as predictors of protection against SARS-CoV-2 variants and the impact of boosting: a meta-analysis
This article has 10 authors:Reviewed by ScreenIT
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SARS-CoV-2 spike opening dynamics and energetics reveal the individual roles of glycans and their collective impact
This article has 5 authors:Reviewed by ScreenIT
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Durability and Cross-Reactivity of Immune Responses Induced by an AS03-Adjuvanted Plant-Based Recombinant Virus-Like Particle Vaccine for COVID-19
This article has 14 authors:Reviewed by ScreenIT
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Neutralization of VOCs including Delta one year post COVID-19 or vaccine
This article has 14 authors:Reviewed by ScreenIT
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Awake Prone Position in Hypoxemic Patients with Coronavirus Disease 19 (COVI-PRONE): A Study protocol and Statistical Analysis Plan for Randomized Clinical Trial
This article has 9 authors:Reviewed by ScreenIT
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THE EFFECT OF BARICITINIB USAGE ON THE CLINICAL AND BIOCHEMICAL PROFILES OF COVID-19 PATIENTS- A RETROSPECTIVE OBSERVATIONAL STUDY
This article has 4 authors:Reviewed by ScreenIT
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COVID-19 Projections for K12 Schools in Fall 2021: Significant Transmission without Interventions
This article has 9 authors:Reviewed by ScreenIT
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Molecular basis of immune evasion by the Delta and Kappa SARS-CoV-2 variants
This article has 19 authors:Reviewed by ScreenIT
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Heterogeneity in COVID-19 pandemic-induced lifestyle stressors predicts future mental health in adults and children in the US and UK
This article has 10 authors:Reviewed by ScreenIT
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Infectious Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in Exhaled Aerosols and Efficacy of Masks During Early Mild Infection
This article has 21 authors:Reviewed by ScreenIT