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
-
Occupational Stress, Burnout, and Depression in Women in Healthcare During COVID-19 Pandemic: Rapid Scoping Review
This article has 7 authors:Reviewed by ScreenIT
-
Disruption of the renal service during COVID-19 pandemic, physicians survey responses from 5 countries
This article has 3 authors:Reviewed by ScreenIT
-
SARS-CoV-2 Antibody Prevalence and Association with Routine Laboratory Values in a Life Insurance Applicant Population
This article has 2 authors:Reviewed by ScreenIT
-
The COVID-19 Early Detection in Doctors and Healthcare Workers (CEDiD) Study: study protocol for a prospective observational trial
This article has 7 authors:Reviewed by ScreenIT
-
Visualizing the invisible: The effect of asymptomatic transmission on the outbreak dynamics of COVID-19
This article has 7 authors:Reviewed by ScreenIT
-
SARS-CoV-2 Spike Protein Interacts with Multiple Innate Immune Receptors
This article has 14 authors:Reviewed by ScreenIT
-
An integrated framework for building trustworthy data-driven epidemiological models: Application to the COVID-19 outbreak in New York City
This article has 5 authors:Reviewed by ScreenIT
-
von Willebrand Factor Multimer Formation Contributes to Immunothrombosis in Coronavirus Disease 2019
This article has 15 authors:Reviewed by ScreenIT
-
The impact of phased university reopenings on mitigating the spread of COVID-19: a modeling study
This article has 5 authors:Reviewed by ScreenIT
-
Homebound by COVID19: the benefits and consequences of non-pharmaceutical intervention strategies
This article has 5 authors:Reviewed by ScreenIT