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
-
One Shot Model For The Prediction of COVID-19 and Lesions Segmentation In Chest CT Scans Through The Affinity Among Lesion Mask Features
This article has 1 author:Reviewed by ScreenIT
-
Demographic Differences in US Adult Intentions to Receive a Potential Coronavirus Vaccine and Implications for Ongoing Study
This article has 1 author:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
-
A pragmatic model to forecast the COVID-19 epidemic in different countries and allowing for daily updates
This article has 2 authors:Reviewed by ScreenIT
-
The clinical and economic value of a successful shutdown during the SARS-CoV-2 pandemic in Germany
This article has 1 author:Reviewed by ScreenIT
-
Power law behaviour in the saturation regime of fatality curves of the COVID-19 pandemic
This article has 6 authors:Reviewed by ScreenIT
-
A Viral Fragmentation Signature for SARS-CoV-2 in Clinical Samples Correlating with Contagiousness
This article has 9 authors:Reviewed by ScreenIT
-
Changing travel patterns in China during the early stages of the COVID-19 pandemic
This article has 49 authors:Reviewed by ScreenIT
-
Human neutralizing antibodies against SARS-CoV-2 require intact Fc effector functions and monocytes for optimal therapeutic protection
This article has 19 authors:Reviewed by ScreenIT
-
Interplay of Antibody and Cytokine Production Reveals CXCL13 as a Potential Novel Biomarker of Lethal SARS-CoV-2 Infection
This article has 14 authors:Reviewed by ScreenIT
-
Impact of the COVID-19 Pandemic on the Short-Term Course of Obsessive-Compulsive Disorder
This article has 10 authors:Reviewed by ScreenIT