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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Comparison of clinical course and outcomes of critically ill patients with SARS-CoV2 infection managed in traditional ICU and “Flex” ICU during the surge of the pandemic in the Bronx
This article has 7 authors:Reviewed by ScreenIT
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SARS-CoV-2 proteins bind heme and hemoglobin
This article has 15 authors:Reviewed by ScreenIT
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Estimating the super-spreading rate at workplaces using bluetooth technology
This article has 5 authors:Reviewed by ScreenIT
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Host-Virus Chimeric Events in SARS-CoV-2-Infected Cells Are Infrequent and Artifactual
This article has 12 authors:Reviewed by ScreenIT
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A novel, anatomy-similar in vitro model of 3D airway epithelial for anti-coronavirus drug discovery
This article has 7 authors:Reviewed by ScreenIT
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In Silico Modeling of Virus Particle Propagation and Infectivity along the Respiratory Tract: A Case Study for SARS-COV-2
This article has 4 authors:Reviewed by ScreenIT
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SARS-CoV-2 Spike Mutations, L452R, T478K, E484Q and P681R, in the Second Wave of COVID-19 in Maharashtra, India
This article has 11 authors:Reviewed by ScreenIT
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Differential plasmacytoid dendritic cell phenotype and type I Interferon response in asymptomatic and severe COVID-19 infection
This article has 18 authors:Reviewed by ScreenIT
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Measuring oxygen access: lessons from health facility assessments in Lagos, Nigeria
This article has 14 authors:Reviewed by ScreenIT
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Evidences on Irrational Anti-Microbial Prescribing and Consumption among COVID-19 Positive Patients and Possible Mitigation Strategies: A Descriptive Cross Sectional Study
This article has 6 authors:Reviewed by ScreenIT