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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Multi-epitope vaccine design using an immunoinformatics approach for 2019 novel coronavirus (SARS-CoV-2)
This article has 14 authors:Reviewed by ScreenIT
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COVID-19 epidemic outside China: 34 founders and exponential growth
This article has 8 authors:Reviewed by ScreenIT
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Clinical Characteristics of Patients with Severe Pneumonia Caused by the 2019 Novel Coronavirus in Wuhan, China
This article has 5 authors:Reviewed by ScreenIT
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Epidemiological and clinical features of 2019-nCoV acute respiratory disease cases in Chongqing municipality, China: a retrospective, descriptive, multiple-center study
This article has 19 authors:Reviewed by ScreenIT
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Risk factors related to hepatic injury in patients with corona virus disease 2019
This article has 9 authors:Reviewed by ScreenIT
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Clinical Significance of an IgM and IgG Test for Diagnosis of Highly Suspected COVID-19
This article has 12 authors:Reviewed by ScreenIT
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The spatiotemporal estimation of the dynamic risk and the international transmission of 2019 Novel Coronavirus (COVID-19) outbreak: A global perspective
This article has 4 authors:Reviewed by ScreenIT
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ACE2 Expression in Pancreas May Cause Pancreatic Damage After SARS-CoV-2 Infection
This article has 6 authors:Reviewed by ScreenIT
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An epidemiological forecast model and software assessing interventions on the COVID-19 epidemic in China
This article has 10 authors:Reviewed by ScreenIT
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Detectable Serum Severe Acute Respiratory Syndrome Coronavirus 2 Viral Load (RNAemia) Is Closely Correlated With Drastically Elevated Interleukin 6 Level in Critically Ill Patients With Coronavirus Disease 2019
This article has 12 authors:Reviewed by ScreenIT