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
-
Estimated Effectiveness of COVID-19 Vaccines Against Omicron or Delta Symptomatic Infection and Severe Outcomes
This article has 13 authors:Reviewed by ScreenIT
-
A Web-based Spatial Decision Support System of Wastewater Surveillance for COVID-19 Monitoring: A Case Study of a University Campus
This article has 14 authors:Reviewed by ScreenIT
-
Vaccine effectiveness against COVID‐19 among symptomatic persons aged ≥12 years with reported contact with COVID‐19 cases, February–September 2021
This article has 18 authors:Reviewed by ScreenIT
-
C reactive protein utilisation, a biomarker for early COVID-19 treatment, improves lenzilumab efficacy: results from the randomised phase 3 ‘LIVE-AIR’ trial
This article has 12 authors:Reviewed by ScreenIT
-
Cross reactivity of spike glycoprotein induced antibody against Delta and Omicron variants before and after third SARS-CoV-2 vaccine dose
This article has 25 authors:Reviewed by ScreenIT
-
Signals of Significantly Increased Vaccine Breakthrough, Decreased Hospitalization Rates, and Less Severe Disease in Patients with Coronavirus Disease 2019 Caused by the Omicron Variant of Severe Acute Respiratory Syndrome Coronavirus 2 in Houston, Texas
This article has 20 authors:Reviewed by ScreenIT
-
The altered entry pathway and antigenic distance of the SARS-CoV-2 Omicron variant map to separate domains of spike protein
This article has 20 authors:Reviewed by ScreenIT
-
Robust expansion of phylogeny for fast-growing genome sequence data
This article has 9 authors:Reviewed by ScreenIT
-
A Newly Engineered A549 Cell Line Expressing ACE2 and TMPRSS2 Is Highly Permissive to SARS-CoV-2, Including the Delta and Omicron Variants
This article has 9 authors:Reviewed by ScreenIT
-
Melatonin drugs inhibit SARS-CoV-2 entry into the brain and virus-induced damage of cerebral small vessels
This article has 14 authors:Reviewed by ScreenIT