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
-
COVID-19 vaccination in pregnancy: views and vaccination uptake rates in pregnancy, a mixed methods analysis from the Born In Wales study
This article has 10 authors:Reviewed by ScreenIT
-
Comparison of pandemic excess mortality in 2020–2021 across different empirical calculations
This article has 3 authors:Reviewed by ScreenIT
-
COVID-19 Vaccine Acceptance and Uptake Among Healthcare Workers in Trinidad & Tobago
This article has 3 authors:Reviewed by ScreenIT
-
Biopsychosocial Response to the COVID-19 Lockdown in People with Major Depressive Disorder and Multiple Sclerosis
This article has 47 authors:Reviewed by ScreenIT
-
Association between environmental levels of PM 2.5 and mortality from SARS-CoV-2 in inhabitants of Mexico City
This article has 4 authors:Reviewed by ScreenIT
-
PixelPrint: Three-dimensional printing of realistic patient-specific lung phantoms for validation of computed tomography post-processing and inference algorithms
This article has 16 authors:Reviewed by ScreenIT
-
A New Paper Framework to Increase Reproducibility: Example Relating to Web Pharmacovigilance During COVID-19 in Italy
This article has 2 authors:Reviewed by ScreenIT
-
Accuracy and Glycemic Efficacy of Continuous Glucose Monitors in Critically Ill COVID-19 Patients: A Retrospective Study
This article has 6 authors:Reviewed by ScreenIT
-
Measuring the impact of nonpharmaceutical interventions on the SARS-CoV-2 pandemic at a city level: An agent-based computational modelling study of the City of Natal
This article has 16 authors:Reviewed by ScreenIT
-
A quasi-experimental evaluation of a financial incentive for first-dose COVID-19 vaccination among adults aged ≥ 60 years in South Africa
This article has 12 authors:Reviewed by ScreenIT