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 Potent SARS-CoV-2 Neutralizing Human Monoclonal Antibody That Reduces Viral Burden and Disease Severity in Syrian Hamsters
This article has 19 authors:Reviewed by ScreenIT
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Analytical and clinical evaluation of antibody tests for SARS-CoV-2 serosurveillance studies used in Finland in 2020
This article has 11 authors:Reviewed by ScreenIT
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Multiplex qPCR discriminates variants of concern to enhance global surveillance of SARS-CoV-2
This article has 41 authors:Reviewed by ScreenIT
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Short-term Forecasting of Cumulative Confirmed Covid-19 Cases Pandemic in Somalia
This article has 2 authors:Reviewed by ScreenIT
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Higher BCG‐induced trained immunity prevalence predicts protection from COVID‐19: Implications for ongoing BCG trials
This article has 5 authors:Reviewed by ScreenIT
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Employing a systematic approach to biobanking and analyzing clinical and genetic data for advancing COVID-19 research
This article has 28 authors:Reviewed by ScreenIT
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Inference of COVID-19 epidemiological distributions from Brazilian hospital data
This article has 11 authors:Reviewed by ScreenIT
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Clearing the Fog: Is Hydroxychloroquine Effective in Reducing Coronavirus Disease-2019 Progression? A Randomized Controlled Trial
This article has 10 authors:Reviewed by ScreenIT
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Targeting stem-loop 1 of the SARS-CoV-2 5′ UTR to suppress viral translation and Nsp1 evasion
This article has 12 authors:Reviewed by ScreenIT
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Bacillus Calmette‐Guérin vaccination and socioeconomic variables vs COVID‐19 global features: Clearing up a controversial issue
This article has 3 authors:Reviewed by ScreenIT