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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Rapidly fatal pneumonitis from immunotherapy and concurrent SARS-CoV-2 infection in a patient with newly diagnosed lung cancer
This article has 17 authors:Reviewed by ScreenIT
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Curbing the AI-induced enthusiasm in diagnosing COVID-19 on chest X-Rays: the present and the near-future
This article has 8 authors:Reviewed by ScreenIT
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Molecular Architecture of Early Dissemination and Evolution of the SARS-CoV-2 Virus in Metropolitan Houston, Texas
This article has 17 authors:Reviewed by ScreenIT
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Rampant C->U hypermutation in the genomes of SARS-CoV-2 and other coronaviruses – causes and consequences for their short and long evolutionary trajectories
This article has 1 author:Reviewed by ScreenIT
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Can Nebulised Heparin Reduce Time to Extubation in SARS-CoV-2 (CHARTER Study) – Protocol
This article has 16 authors:Reviewed by ScreenIT
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Large-Scale, In-House Production of Viral Transport Media To Support SARS-CoV-2 PCR Testing in a Multihospital Health Care Network during the COVID-19 Pandemic
This article has 8 authors:Reviewed by ScreenIT
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Comparison of the Clinical Implications among Two Different Nutritional Indices in Hospitalized Patients with COVID-19
This article has 10 authors:Reviewed by ScreenIT
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COVID-19 versus non-COVID-19 pneumonia: A retrospective cohort study in Chengdu, China
This article has 4 authors:Reviewed by ScreenIT
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Development and Validation of an Automated Radiomic CT Signature for Detecting COVID-19
This article has 21 authors:Reviewed by ScreenIT
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Validation of an extraction-free RT-PCR protocol for detection of SARS-CoV2 RNA
This article has 4 authors:Reviewed by ScreenIT