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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SARS-CoV-2 Seroprevalence and Antibody Kinetics Among Health Care Workers in a Spanish Hospital After 3 Months of Follow-up
This article has 38 authors:Reviewed by ScreenIT
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Predicting Clinical Outcome with Phenotypic Clusters in COVID-19 Pneumonia: An Analysis of 12,066 Hospitalized Patients from the Spanish Registry SEMI-COVID-19
This article has 25 authors:Reviewed by ScreenIT
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Early Stage Machine Learning–Based Prediction of US County Vulnerability to the COVID-19 Pandemic: Machine Learning Approach
This article has 4 authors:Reviewed by ScreenIT
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Homologous and heterologous antibodies to coronavirus 229E, NL63, OC43, HKU1, SARS, MERS and SARS-CoV-2 antigens in an age stratified cross-sectional serosurvey in a large tertiary hospital in The Netherlands
This article has 13 authors:Reviewed by ScreenIT
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On Modeling of COVID-19 for the Indian Subcontinent using Polynomial and Supervised Learning Regression
This article has 3 authors:Reviewed by ScreenIT
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Polyester nasal swabs collected in a dry tube are a robust and inexpensive, minimal self-collection kit for SARS-CoV-2 testing
This article has 9 authors:Reviewed by ScreenIT
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Field performance evaluation of the PanBio rapid SARS-CoV-2 antigen assay in an epidemic driven by the B.1.351 variant in the Eastern Cape, South Africa
This article has 4 authors:Reviewed by ScreenIT
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A “Tail” of Two Cities: Fatality-based Modeling of COVID-19 Evolution in New York City and Cook County, IL
This article has 1 author:Reviewed by ScreenIT
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Antibody potency, effector function, and combinations in protection and therapy for SARS-CoV-2 infection in vivo
This article has 18 authors:Reviewed by ScreenIT
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How has COVID‐19 affected mental health nurses and the delivery of mental health nursing care in the UK? Results of a mixed‐methods study
This article has 8 authors:Reviewed by ScreenIT