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
-
Estimating Active Cases of COVID-19
This article has 21 authors:Reviewed by ScreenIT
-
Delta breakthrough infections elicit potent, broad and durable neutralizing antibody responses
This article has 14 authors:Reviewed by ScreenIT
-
Plant-based Expression of SARS-CoV-2 antigens for use in an Oral Vaccine
This article has 4 authors:Reviewed by ScreenIT
-
Structural Insights of SARS-CoV-2 Spike Protein from Delta and Omicron Variants
This article has 3 authors:Reviewed by ScreenIT
-
Diagnosis of COVID-19 Using CT image Radiomics Features: A Comprehensive Machine Learning Study Involving 26,307 Patients
This article has 42 authors:Reviewed by ScreenIT
-
Outbreak of COVID-19 among vaccinated and unvaccinated homeless shelter residents — Sonoma County, California, July 2021
This article has 11 authors:Reviewed by ScreenIT
-
A quantitative systems pharmacology model of the pathophysiology and treatment of COVID-19 predicts optimal timing of pharmacological interventions
This article has 3 authors:Reviewed by ScreenIT
-
Clinical and genomic signatures of SARS-CoV-2 Delta breakthrough infections in New York
This article has 14 authors:Reviewed by ScreenIT
-
Measurement of Severe Acute Respiratory Syndrome Coronavirus 2 Antigens in Plasma of Pediatric Patients With Acute Coronavirus Disease 2019 or Multisystem Inflammatory Syndrome in Children Using an Ultrasensitive and Quantitative Immunoassay
This article has 31 authors:Reviewed by ScreenIT
-
The Spread of SARS-CoV-2 Variant Omicron with a Doubling Time of 2.0–3.3 Days Can Be Explained by Immune Evasion
This article has 3 authors:Reviewed by ScreenIT