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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Influence of heterogeneous age-group contact patterns on critical vaccination rates for herd immunity to SARS-CoV-2
This article has 2 authors:Reviewed by ScreenIT
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SARS-CoV-2 Aerosol Transmission Indoors: A Closer Look at Viral Load, Infectivity, the Effectiveness of Preventive Measures and a Simple Approach for Practical Recommendations
This article has 6 authors:Reviewed by ScreenIT
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Inhaled corticosteroids for outpatients with COVID-19: a meta-analysis
This article has 8 authors:Reviewed by ScreenIT
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Longitudinal Changes of Cardiac and Aortic Imaging Phenotypes Following COVID-19 in the UK Biobank Cohort
This article has 10 authors:Reviewed by ScreenIT
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The COVID19 Pandemic has Changed Women’s Experiences of Pregnancy in the UK
This article has 7 authors:Reviewed by ScreenIT
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Evaluation of a machine learning approach utilizing wearable data for prediction of SARS-CoV-2 infection in healthcare workers
This article has 15 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Costly Miscommunication: College Students with Disabilities’ Perceptions of COVID-19 Vaccine Costs
This article has 2 authors:Reviewed by ScreenIT
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Primary Care Diagnosis and Treatment of Attention-Deficit/Hyperactivity Disorder in School-Age Children: Trends and Disparities During the COVID-19 Pandemic
This article has 4 authors:Reviewed by ScreenIT
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Autoantibodies Against Proteins Previously Associated With Autoimmunity in Adult and Pediatric Patients With COVID-19 and Children With MIS-C
This article has 36 authors:Reviewed by ScreenIT
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Estimation of the basic reproduction number of COVID-19 from the incubation period distribution
This article has 3 authors:Reviewed by ScreenIT