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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Altered Intestinal ACE2 Levels Are Associated With Inflammation, Severe Disease, and Response to Anti-Cytokine Therapy in Inflammatory Bowel Disease
This article has 19 authors:Reviewed by ScreenIT
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Are German endoscopy units prepared for the COVID-19 pandemic? A nationwide survey
This article has 10 authors:Reviewed by ScreenIT
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Detection of SARS-CoV-2 RNA by direct RT-qPCR on nasopharyngeal specimens without extraction of viral RNA
This article has 10 authors:Reviewed by ScreenIT
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Lessons for preparedness and reasons for concern from the early COVID-19 epidemic in Iran
This article has 12 authors:Reviewed by ScreenIT
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Change in global transmission rates of COVID-19 through May 6 2020
This article has 4 authors:Reviewed by ScreenIT
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Analysis of SteraMist ionized hydrogen peroxide technology in the sterilization of N95 respirators and other PPE
This article has 16 authors:Reviewed by ScreenIT
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COVID-19 Outbreak in Post-Soviet States: Modeling the Best and Worst Possible Scenarios
This article has 7 authors:Reviewed by ScreenIT
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A study on control of novel corona-virus (2019- nCoV) disease process by using PID controller
This article has 2 authors:Reviewed by ScreenIT
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Estimating the cumulative incidence of COVID-19 in the United States using influenza surveillance, virologic testing, and mortality data: Four complementary approaches
This article has 10 authors:Reviewed by ScreenIT
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GI symptoms as early signs of COVID-19 in hospitalised Italian patients
This article has 24 authors:Reviewed by ScreenIT