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
-
Trajectory of Growth of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Variants in Houston, Texas, January through May 2021, Based on 12,476 Genome Sequences
This article has 20 authors:Reviewed by ScreenIT
-
COVID-19 Fatality Rate Classification using Synthetic Minority Oversampling Technique (SMOTE) for Imbalance Class
This article has 3 authors:Reviewed by ScreenIT
-
Angiopoietin 2 Is Associated with Vascular Necroptosis Induction in Coronavirus Disease 2019 Acute Respiratory Distress Syndrome
This article has 28 authors:Reviewed by ScreenIT
-
Public health implications of SARS-CoV-2 variants of concern: a rapid scoping review
This article has 17 authors:Reviewed by ScreenIT
-
Real-Time Genomic Surveillance for SARS-CoV-2 Variants of Concern, Uruguay
This article has 40 authors:Reviewed by ScreenIT
-
Perceptions of, and Obstacles to, SARS-CoV-2 Vaccination Among Adults in Lebanon: Cross-sectional Online Survey
This article has 8 authors:Reviewed by ScreenIT
-
Combining serological assays and official statistics to describe the trajectory of the COVID-19 pandemic: results from the EPICOVID19-RS study in Rio Grande do Sul (Southern Brazil)
This article has 11 authors:Reviewed by ScreenIT
-
RT-qPCR detection of SARS-CoV-2 mutations S 69–70 del, S N501Y and N D3L associated with variants of concern in Canadian wastewater samples
This article has 8 authors:Reviewed by ScreenIT
-
A Phenome-Wide Association Study of genes associated with COVID-19 severity reveals shared genetics with complex diseases in the Million Veteran Program
This article has 37 authors:Reviewed by ScreenIT
-
Defining COVID-19–associated pulmonary aspergillosis: systematic review and meta-analysis
This article has 6 authors:Reviewed by ScreenIT