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
-
Performance of Three Measures of Comorbidity in Predicting Critical COVID-19: A Retrospective Analysis of 4607 Hospitalized Patients
This article has 14 authors:Reviewed by ScreenIT
-
Dominance of Alpha and Iota variants in SARS-CoV-2 vaccine breakthrough infections in New York City
This article has 9 authors:Reviewed by ScreenIT
-
Informing University Covid-19 Decisions Using Simple Compartmental Models
This article has 4 authors:Reviewed by ScreenIT
-
Public opinion on a mandatory COVID-19 vaccination policy in France: a cross-sectional survey
This article has 7 authors:Reviewed by ScreenIT
-
Death Profiling of Hospitalized Patients with COVID-19: Experience from a Specialized Hospital in Bangladesh
This article has 3 authors:Reviewed by ScreenIT
-
COVID-19 Vaccination Dynamics in the US: Coverage Velocity and Carrying Capacity Based on Socio-demographic Vulnerability Indices in California
This article has 9 authors:Reviewed by ScreenIT
-
An autoantigen profile from Jurkat T-Lymphoblasts provides a molecular guide for investigating autoimmune sequelae of COVID-19
This article has 5 authors:Reviewed by ScreenIT
-
Multisite Clinical Validation of Isothermal Amplification-Based SARS-CoV-2 Detection Assays Using Different Sampling Strategies
This article has 21 authors:Reviewed by ScreenIT
-
SARS-CoV-2 Nsp14 mediates the effects of viral infection on the host cell transcriptome
This article has 6 authors:This article has been curated by 1 group: -
SARS-CoV-2 B.1.1.7 lineage rapidly spreads and replaces R.1 lineage in Japan: Serial and stationary observation in a community
This article has 2 authors:Reviewed by ScreenIT