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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Antigen-Based Testing but Not Real-Time Polymerase Chain Reaction Correlates With Severe Acute Respiratory Syndrome Coronavirus 2 Viral Culture
This article has 10 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Entry screening and multi-layer mitigation of COVID-19 cases for a safe university reopening
This article has 9 authors:Reviewed by ScreenIT
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Diagnostic Performance of Standard and Inverted Grey-Scale CXR in Detection of Lung Lesions in COVID-19 Patients: A Single Institute Study in the Region of Abu Dhabi
This article has 6 authors:Reviewed by ScreenIT
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Reducing SARS-CoV-2 infectious spreading patterns by removing S and R compartments from SIR model equation
This article has 1 author:Reviewed by ScreenIT
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Landscape of epitopes targeted by T cells in 852 individuals recovered from COVID-19: Meta-analysis, immunoprevalence, and web platform
This article has 3 authors:Reviewed by ScreenIT
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Blood neurofilament light concentration at admittance: a potential prognostic marker in COVID-19
This article has 15 authors:Reviewed by ScreenIT
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SARS-CoV-2 antibody prevalence in England following the first peak of the pandemic
This article has 14 authors:Reviewed by ScreenIT
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Sociodemographic and access-related correlates of sanitary pads among college students in Lucknow during Covid19
This article has 4 authors:Reviewed by ScreenIT
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Hospital admission rates, length of stay, and in-hospital mortality for common acute care conditions in COVID-19 vs. pre-COVID-19 era
This article has 9 authors:Reviewed by ScreenIT
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A Predictive Model for the Evolution of COVID-19
This article has 1 author:Reviewed by ScreenIT