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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Association of Simulated COVID-19 Policy Responses for Social Restrictions and Lockdowns With Health-Adjusted Life-Years and Costs in Victoria, Australia
This article has 12 authors:Reviewed by ScreenIT
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Dynamics of B cell repertoires and emergence of cross-reactive responses in patients with different severities of COVID-19
This article has 15 authors:Reviewed by ScreenIT
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A high-throughput Anti-SARS-CoV-2 IgG testing platform for COVID-19
This article has 6 authors:Reviewed by ScreenIT
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Validation and clinical evaluation of a SARS-CoV-2 Surrogate Virus Neutralization Test (sVNT)
This article has 11 authors:Reviewed by ScreenIT
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Insight into the origin of 5’UTR and source of CpG reduction in SARS-CoV-2 genome
This article has 5 authors:Reviewed by ScreenIT
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A simple method to describe the COVID-19 trajectory and dynamics in any country based on Johnson cumulative density function fitting
This article has 2 authors:Reviewed by ScreenIT
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Immediate and Near Future Prediction of COVID-19 Patients in the U.S. Population Aged 65+ With the Prior Medical Conditions of Hypertension, Cardiovascular and Lung Diseases: Methods, Models and Acute Care Estimates
This article has 5 authors:Reviewed by ScreenIT
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Analytical assessment of Beckman Coulter Access anti-SARS- CoV-2 IgG immunoassay
This article has 5 authors:Reviewed by ScreenIT
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Estimating COVID-19 Virus Prevalence from Records of Testing Rate and Test Positivity
This article has 1 author:Reviewed by ScreenIT
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CovidSIMVL --Transmission Trees, Superspreaders and Contact Tracing in Agent Based Models of Covid-19
This article has 3 authors:Reviewed by ScreenIT