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
-
Aortic stenosis post-COVID-19: a mathematical model on waiting lists and mortality
This article has 16 authors:Reviewed by ScreenIT
-
Contribution of infection and vaccination to seroprevalence through two COVID waves in Tamil Nadu, India
This article has 21 authors:Reviewed by ScreenIT
-
Higher vaccination rates predict reduction in SARS-CoV-2 transmission across the United States
This article has 1 author:Reviewed by ScreenIT
-
Neurodevelopmental outcomes of infants born to mothers with SARS-CoV-2 infections during pregnancy: a national prospective study in Kuwait
This article has 12 authors:Reviewed by ScreenIT
-
Pulmonary Thromboembolism in COVID-19 Patients on CT Pulmonary Angiography - A Single-Centre Retrospective Cohort Study in the United Arab Emirates
This article has 6 authors:Reviewed by ScreenIT
-
Case Series of Thrombosis With Thrombocytopenia Syndrome After COVID-19 Vaccination—United States, December 2020 to August 2021
This article has 24 authors:Reviewed by ScreenIT
-
AI/ML Models to Aid in the Diagnosis of COVID-19 Illness from Forced Cough Vocalizations: Good Machine Learning Practice and Good Clinical Practices from Concept to Consumer for AI/ML Software Devices
This article has 5 authors:Reviewed by ScreenIT
-
Effectiveness of COVID-19 booster vaccines against COVID-19-related symptoms, hospitalization and death in England
This article has 8 authors:Reviewed by ScreenIT
-
Safety and immunogenicity of anti-SARS CoV-2 vaccine SOBERANA 02 in homologous or heterologous scheme: Open label phase I and phase IIa clinical trials
This article has 59 authors:Reviewed by ScreenIT
-
Limited impact of contact tracing in a University setting for COVID-19 due to asymptomatic transmission and social distancing
This article has 5 authors:Reviewed by ScreenIT