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
-
Estimation of the true infection rate and infection fatality rate of coronavirus disease 2019 in each country
This article has 6 authors:Reviewed by ScreenIT
-
COVID-19 infection alters kynurenine and fatty acid metabolism, correlating with IL-6 levels and renal status
This article has 12 authors:Reviewed by ScreenIT
-
Deposition distribution of the new coronavirus (SARS-CoV-2) in the human airways upon exposure to cough-generated droplets and aerosol particles
This article has 8 authors:Reviewed by ScreenIT
-
The First 100 Days of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Control in Vietnam
This article has 80 authors:Reviewed by ScreenIT
-
ACE2 and FURIN variants are potential predictors of SARS-CoV-2 outcome: A time to implement precision medicine against COVID-19
This article has 13 authors:Reviewed by ScreenIT
-
Implications of SARS-CoV-2 mutations for genomic RNA structure and host microRNA targeting
This article has 2 authors:Reviewed by ScreenIT
-
Dynamic liver function indexes monitoring and clinical characteristics in three types of COVID-19 patients
This article has 6 authors:Reviewed by ScreenIT
-
Robust T Cell Response Toward Spike, Membrane, and Nucleocapsid SARS-CoV-2 Proteins Is Not Associated with Recovery in Critical COVID-19 Patients
This article has 22 authors:Reviewed by ScreenIT
-
Hemogram data as a tool for decision-making in COVID-19 management: applications to resource scarcity scenarios
This article has 4 authors:Reviewed by ScreenIT
-
Covasim: An agent-based model of COVID-19 dynamics and interventions
This article has 26 authors:Reviewed by ScreenIT