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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Epidemiological and clinical features of the 2019 novel coronavirus outbreak in China
This article has 14 authors:Reviewed by ScreenIT
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Combined Metabolic Activators Accelerates Recovery in Mild‐to‐Moderate COVID‐19
This article has 18 authors:Reviewed by ScreenIT
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Examining Australian public perceptions and behaviors towards a future COVID-19 vaccine
This article has 7 authors:Reviewed by ScreenIT
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In Vitro Efficacy of “Essential Iodine Drops” Against Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2)
This article has 1 author:Reviewed by ScreenIT
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Profiling COVID-19 pneumonia progressing into the cytokine storm syndrome: Results from a single Italian Centre study on tocilizumab versus standard of care
This article has 12 authors:Reviewed by ScreenIT
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Performance of Three SARS-CoV-2 Immunoassays, Three Rapid Lateral Flow Tests, and a Novel Bead-Based Affinity Surrogate Test for the Detection of SARS-CoV-2 Antibodies in Human Serum
This article has 17 authors:Reviewed by ScreenIT
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What is the extent of COVID-19 vaccine hesitancy in Bangladesh? A cross-sectional rapid national survey
This article has 2 authors:Reviewed by ScreenIT
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The immunodominant and neutralization linear epitopes for SARS-CoV-2
This article has 23 authors:Reviewed by ScreenIT
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Fallow time determination in dentistry using aerosol measurement in mechanically and non-mechanically ventilated environments
This article has 10 authors:Reviewed by ScreenIT
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Strict Lower Bound on the COVID-19 Fatality Rate in Overwhelmed Healthcare Systems
This article has 1 author:Reviewed by ScreenIT