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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A preliminary study on serological assay for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in 238 admitted hospital patients
This article has 25 authors:Reviewed by ScreenIT
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The evaluation of sleep disturbances for Chinese frontline medical workers under the outbreak of COVID-19
This article has 17 authors:Reviewed by ScreenIT
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Clinical characterization and chest CT findings in laboratory-confirmed COVID-19: a systematic review and meta-analysis
This article has 10 authors:Reviewed by ScreenIT
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Estimating the scale of COVID-19 Epidemic in the United States: Simulations Based on Air Traffic Directly from Wuhan, China
This article has 7 authors:Reviewed by ScreenIT
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Acute Myocardial Injury of Patients with Coronavirus Disease 2019
This article has 19 authors:Reviewed by ScreenIT
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Exploring Diseases/Traits and Blood Proteins Causally Related to Expression of ACE2, the Putative Receptor of SARS-CoV-2: A Mendelian Randomization Analysis Highlights Tentative Relevance of Diabetes-Related Traits
This article has 3 authors:Reviewed by ScreenIT
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Outcome reporting from protocols of clinical trials of Coronavirus Disease 2019 (COVID-19): a review
This article has 12 authors:Reviewed by ScreenIT
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Substrate specificity profiling of SARS-CoV-2 main protease enables design of activity-based probes for patient-sample imaging
This article has 9 authors:Reviewed by ScreenIT
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AI-aided design of novel targeted covalent inhibitors against SARS-CoV-2
This article has 6 authors:Reviewed by ScreenIT
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Novel Immunoglobulin Domain Proteins Provide Insights into Evolution and Pathogenesis Mechanisms of SARS-Related Coronaviruses
This article has 5 authors:Reviewed by ScreenIT