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
-
Two-Dose Severe Acute Respiratory Syndrome Coronavirus 2 Vaccine Effectiveness With Mixed Schedules and Extended Dosing Intervals: Test-Negative Design Studies From British Columbia and Quebec, Canada
This article has 31 authors:Reviewed by ScreenIT
-
Coronavirus Disease 2019 (COVID-19) Breakthrough Infection and Post-Vaccination Neutralizing Antibodies Among Healthcare Workers in a Referral Hospital in Tokyo: A Case-Control Matching Study
This article has 15 authors:Reviewed by ScreenIT
-
Limited Impact of Delta Variant’s Mutations on the Effectiveness of Neutralization Conferred by Natural Infection or COVID-19 Vaccines in a Latino Population
This article has 9 authors:Reviewed by ScreenIT
-
Modeling the Impact of Vaccination Strategies for Nursing Homes in the Context of Increased Severe Acute Respiratory Syndrome Coronavirus 2 Community Transmission and Variants
This article has 5 authors:Reviewed by ScreenIT
-
Health workers motivators to uptake of the COVID-19 vaccine at Iganga Hospital Eastern Uganda, and Mengo Hospital Kampala Uganda; A qualitative study
This article has 8 authors:Reviewed by ScreenIT
-
Nucleocapsid antibody positivity as a marker of past SARS-CoV-2 infection in population serosurveillance studies: impact of variant, vaccination, and choice of assay cut-off
This article has 15 authors:Reviewed by ScreenIT
-
Phylogenetic-based inference reveals distinct transmission dynamics of SARS-CoV-2 lineages Gamma and P.2 in Brazil
This article has 82 authors:Reviewed by ScreenIT
-
Rational Design and Development of SARS-CoV-2 Serological Diagnostics by Immunoprecipitation-Targeted Proteomics
This article has 5 authors:Reviewed by ScreenIT
-
Relationship among work–treatment balance, job stress, and work engagement in Japan: a cross-sectional study
This article has 9 authors:Reviewed by ScreenIT
-
Optimizing Social Distancing Policies: A Dynamic Programming Approach for Coupled High and Low Risk Populations
This article has 4 authors:Reviewed by ScreenIT