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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Comparison of Severe Acute Respiratory Syndrome Coronavirus 2 Screening Using Reverse Transcriptase–Quantitative Polymerase Chain Reaction or CRISPR-Based Assays in Asymptomatic College Students
This article has 21 authors:Reviewed by ScreenIT
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Impact of body composition on COVID-19 susceptibility and severity: A two-sample multivariable Mendelian randomization study
This article has 3 authors:Reviewed by ScreenIT
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St George’s COVID shield for use by ENT surgeons performing tracheostomies
This article has 5 authors:Reviewed by ScreenIT
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Lipid nanoparticle formulation of niclosamide (nano NCM) effectively inhibits SARS-CoV-2 replication in vitro
This article has 9 authors:Reviewed by ScreenIT
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SARS-CoV-2 RNA shedding in recovered COVID-19 cases and the presence of antibodies against SARS-CoV-2 in recovered COVID-19 cases and close contacts, Thailand, April-June 2020
This article has 21 authors:Reviewed by ScreenIT
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Association between RT-PCR Ct Values and COVID-19 New Daily Cases: A Multicenter Cross-Sectional Study
This article has 6 authors:Reviewed by ScreenIT
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On mobility trends analysis of COVID–19 dissemination in Mexico City
This article has 3 authors:Reviewed by ScreenIT
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COVID-19 vaccine uptake among healthcare workers in the fourth country to authorize BNT162b2 during the first month of rollout
This article has 18 authors:Reviewed by ScreenIT
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Stable neutralizing antibody levels 6 months after mild and severe COVID-19 episodes
This article has 23 authors:Reviewed by ScreenIT
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Current forecast of COVID-19 in Mexico: A Bayesian and machine learning approaches
This article has 1 author:Reviewed by ScreenIT