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
-
Indirect effects of COVID-19 on maternal, neonatal, child, sexual and reproductive health services in Kampala, Uganda
This article has 14 authors:Reviewed by ScreenIT
-
Evaluation of the ROX index in SARS-CoV-2 Acute Respiratory failure treated with both High-Flow Nasal Oxygen (HFNO) and Continuous Positive Airway Pressure (CPAP)
This article has 12 authors:Reviewed by ScreenIT
-
Estimating the early impact of vaccination against COVID-19 on deaths among elderly people in Brazil: Analyses of routinely-collected data on vaccine coverage and mortality
This article has 6 authors:Reviewed by ScreenIT
-
Long-lasting humoral immunity in Covid-19 infected patients at a University Hospital Clinic in Östergötland County Council during 2020-2021
This article has 11 authors:Reviewed by ScreenIT
-
Development and Validation of the RCOS Prognostic Index: A Bedside Multivariable Logistic Regression Model to Predict Hypoxaemia or Death in Patients with SARS-CoV-2 Infection
This article has 7 authors:Reviewed by ScreenIT
-
Estimating the False-Positive Rate of Highly Automated SARS-CoV-2 Nucleic Acid Amplification Testing
This article has 4 authors:Reviewed by ScreenIT
-
Direct Activation of Endothelial Cells by SARS-CoV-2 Nucleocapsid Protein Is Blocked by Simvastatin
This article has 8 authors:Reviewed by ScreenIT
-
Resolving the Functional Significance of BRCA1 RING Domain Missense Substitutions
This article has 18 authors:Reviewed by ScreenIT
-
Trends in SARS-CoV-2 detection during social relaxation measures over ten months of COVID-19 pandemic in the metropolitan area of Rio de Janeiro, Brazil
This article has 5 authors:Reviewed by ScreenIT
-
Point-of-care ultrasonography for risk stratification of non-critical suspected COVID-19 patients on admission (POCUSCO): a prospective binational study
This article has 19 authors:Reviewed by ScreenIT