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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Simulations of the spread of COVID-19 and control policies in Tunisia
This article has 2 authors:Reviewed by ScreenIT
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The impact of a dedicated coronavirus disease 2019 primary angioplasty protocol on time components related to ST‑segment elevation myocardial infarction management in a 24/7 primary percutaneous coronary intervention–capable hospital
This article has 15 authors:Reviewed by ScreenIT
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A Mathematical Model to Investigate the Transmission of COVID-19 in the Kingdom of Saudi Arabia
This article has 1 author:Reviewed by ScreenIT
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COVID-19 in Children with Brain-Based Developmental Disabilities: A Rapid Review
This article has 12 authors:Reviewed by ScreenIT
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Comparison of Two Commercial Molecular Tests and a Laboratory-Developed Modification of the CDC 2019-nCoV Reverse Transcriptase PCR Assay for the Detection of SARS-CoV-2
This article has 5 authors:Reviewed by ScreenIT
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Epidemiologic Parameters for COVID-19: A Systematic Review and Meta-Analysis
This article has 6 authors:Reviewed by ScreenIT
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Classification of COVID-19 from Chest X-ray images using Deep Convolutional Neural Networks
This article has 5 authors:Reviewed by ScreenIT
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Clinical characteristics and fecal–oral transmission potential of patients with COVID-19
This article has 3 authors:Reviewed by ScreenIT
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The impact of long-term non-pharmaceutical interventions on COVID-19 epidemic dynamics and control: the value and limitations of early models
This article has 10 authors:Reviewed by ScreenIT
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A note on COVID-19 seroprevalence studies: a meta-analysis using hierarchical modelling
This article has 2 authors:Reviewed by ScreenIT