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
-
Changes in ischemic stroke presentations and associated workflow during the first wave of the COVID-19 pandemic: A population study in Alberta, Canada
This article has 8 authors:Reviewed by ScreenIT
-
Detection and quantification of SARS-CoV-2 RNA in wastewater influent in relation to reported COVID-19 incidence in Finland
This article has 12 authors:Reviewed by ScreenIT
-
Poor neutralization and rapid decay of antibodies to SARS-CoV-2 variants in vaccinated dialysis patients
This article has 35 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
-
Covid-19 vaccine perceptions in Senegal and in Mali: a mixed approach
This article has 8 authors:Reviewed by ScreenIT
-
Adverse Events Following COVID-19 Vaccination in Young Japanese People: A Case-Control Study of the Risk of Systemic Adverse Events by A Questionnaire Survey
This article has 10 authors:Reviewed by ScreenIT
-
SARS-CoV-2 RNA and antibody dynamics in a Dutch household study with dense sampling frame
This article has 26 authors:Reviewed by ScreenIT
-
Seropositivity to Nucleoprotein to detect mild and asymptomatic SARS-CoV-2 infections: A complementary tool to detect breakthrough infections after COVID-19 vaccination?
This article has 21 authors:Reviewed by ScreenIT
-
Evolution of SARS-CoV-2 immune responses in nursing home residents following full dose of the Comirnaty® COVID-19 vaccine
This article has 13 authors:Reviewed by ScreenIT
-
Efficacy and Safety of MSC Cell Therapies for Hospitalized Patients with COVID-19: A Systematic Review and Meta-Analysis
This article has 22 authors:Reviewed by ScreenIT
-
Comprehensive characterization of the antibody responses to SARS-CoV-2 Spike protein finds additional vaccine-induced epitopes beyond those for mild infection
This article has 8 authors:This article has been curated by 1 group: