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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Does Gender or Religion Contribute to the Risk of COVID-19 in Hospital Doctors in the UK?
This article has 10 authors:Reviewed by ScreenIT
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Development of a SARS-CoV-2 Total Antibody Assay and the Dynamics of Antibody Response over Time in Hospitalized and Nonhospitalized Patients with COVID-19
This article has 86 authors:Reviewed by ScreenIT
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Evaluation of the performance of SARS-CoV-2 serological tools and their positioning in COVID-19 diagnostic strategies
This article has 12 authors:Reviewed by ScreenIT
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A Longitudinal Study of Immune Cells in Severe COVID-19 Patients
This article has 8 authors:Reviewed by ScreenIT
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Syndromic Surveillance Insights from a Symptom Assessment App Before and During COVID-19 Measures in Germany and the United Kingdom: Results From Repeated Cross-Sectional Analyses
This article has 4 authors:Reviewed by ScreenIT
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A high-throughput strategy for COVID-19 testing based on next-generation sequencing
This article has 2 authors:Reviewed by ScreenIT
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Personal Protective Equipment (PPE) Using in Antalya 112 Emergency Ambulance Services During Outbreak
This article has 1 author:Reviewed by ScreenIT
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A novel comprehensive metric to assess effectiveness of COVID-19 testing: Inter-country comparison and association with geography, government, and policy response
This article has 2 authors:Reviewed by ScreenIT
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Statistical Issues and Lessons Learned From COVID-19 Clinical Trials With Lopinavir-Ritonavir and Remdesivir
This article has 3 authors:Reviewed by ScreenIT
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In-depth virological assessment of kidney transplant recipients with COVID-19
This article has 24 authors:Reviewed by ScreenIT