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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Genomic analysis of SARS-CoV-2 breakthrough infections from Varanasi, India
This article has 22 authors:Reviewed by ScreenIT
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High-throughput super-resolution analysis of influenza virus pleomorphism reveals insights into viral spatial organization
This article has 7 authors:Reviewed by ScreenIT
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COVID-19 vaccination rates among healthcare workers by immigrant background: A nation-wide registry study from Norway
This article has 5 authors:Reviewed by ScreenIT
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A systems biology approach identifies candidate drugs to reduce mortality in severely ill patients with COVID-19
This article has 10 authors:Reviewed by ScreenIT
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Comparison of adverse events between COVID-19 and Flu vaccines
This article has 4 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Tracking the temporal variation of COVID-19 surges through wastewater-based epidemiology during the peak of the pandemic: A six-month long study in Charlotte, North Carolina
This article has 13 authors:Reviewed by ScreenIT
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Development and evaluation of a machine learning-based in-hospital COVID-19 disease outcome predictor (CODOP): A multicontinental retrospective study
This article has 28 authors:This article has been curated by 1 group: -
SARS-CoV-2 preS dTM vaccine booster candidates increase functional antibody responses and cross-neutralization against SARS-CoV-2 variants of concern in non-human primates
This article has 12 authors:Reviewed by ScreenIT
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Fitting the reproduction number from UK coronavirus case data and why it is close to 1
This article has 4 authors:Reviewed by ScreenIT
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Immunogenicity of an inactivated SARS-CoV-2 vaccine in people living with HIV-1: a non-randomized cohort study
This article has 15 authors:Reviewed by ScreenIT