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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A Time Series Analysis and Predictive Modeling of COVID-19 Impacts in the African American Community
This article has 5 authors:Reviewed by ScreenIT
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Rapid incidence estimation from SARS-CoV-2 genomes reveals decreased case detection in Europe during summer 2020
This article has 6 authors:Reviewed by ScreenIT
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Viability of MS2 and Phi6 Bacteriophages on Carpet and Dust
This article has 12 authors:Reviewed by ScreenIT
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Induction of SARS-CoV-2 neutralizing antibodies by CoronaVac and BNT162b2 vaccines in naïve and previously infected individuals
This article has 21 authors:Reviewed by ScreenIT
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Comparison of Dried Blood Spots and Venous Blood for the Detection of SARS-CoV-2 Antibodies in a Population of Nursing Home Residents
This article has 12 authors:Reviewed by ScreenIT
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Durability of mRNA-1273-induced antibodies against SARS-CoV-2 variants
This article has 32 authors:Reviewed by ScreenIT
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REACT-1 round 11 report: low prevalence of SARS-CoV-2 infection in the community prior to the third step of the English roadmap out of lockdown
This article has 22 authors:Reviewed by ScreenIT
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Longitudinal changes in home-based arts engagement during and following the first national lockdown due to the COVID-19 pandemic in the UK
This article has 4 authors:Reviewed by ScreenIT
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The effect of smaller classes on infection-related school absence: evidence from the Project STAR randomized controlled trial
This article has 1 author:Reviewed by ScreenIT
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Symptom profiles and accuracy of clinical case definitions for COVID-19 in a community cohort: results from the Virus Watch study
This article has 20 authors:Reviewed by ScreenIT