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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Effectiveness of mRNA-1273 against delta, mu, and other emerging variants of SARS-CoV-2: test negative case-control study
This article has 15 authors:Reviewed by ScreenIT
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Reduced amplification efficiency of the RNA-dependent-RNA-polymerase target enables tracking of the Delta SARS-CoV-2 variant using routine diagnostic tests
This article has 24 authors:Reviewed by ScreenIT
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Equivalence of saliva RT-qPCR testing to nasal-throat/nasopharyngeal swab testing in the general practitioner’s setting to detect SARS-CoV-2
This article has 10 authors:Reviewed by ScreenIT
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Association Between Time Spent With Family and Loneliness Among Japanese Workers During the COVID-19 Pandemic: A Cross-Sectional Study
This article has 10 authors:Reviewed by ScreenIT
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COVID-19 Pandemic Response in a Migrant Farmworker Community: Excess Mortality, Testing Access and Contact Tracing in Immokalee, Florida
This article has 9 authors:Reviewed by ScreenIT
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Modeling of COVID-19 Pandemic vis-à-vis Some Socio-Economic Factors
This article has 3 authors:Reviewed by ScreenIT
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Longitudinal SARS-CoV-2 Testing among the Unvaccinated Is Punctuated by Intermittent Positivity and Variable Rates of Increasing Cycle Threshold Values
This article has 8 authors:Reviewed by ScreenIT
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Evaluation of Liver Function Tests (LFT) and C-reactive protein in COVID-19 (SARS Cov-2) positive patients diagnosed by Real-time PCR
This article has 3 authors:Reviewed by ScreenIT
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Human seasonal coronavirus neutralization and COVID‐19 severity
This article has 15 authors:Reviewed by ScreenIT
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Importation Risk Stratification for COVID19 using Quantitative Serology
This article has 1 author:Reviewed by ScreenIT