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
-
Immunogenicity of BNT162b2 Vaccine Booster Dose in Patients With Inflammatory Bowel Disease Receiving Infliximab Combination Therapy: A Prospective Observational Study
This article has 16 authors:Reviewed by ScreenIT
-
SARS-CoV-2 outbreaks in secondary school settings in the Netherlands during fall 2020; silent circulation
This article has 16 authors:Reviewed by ScreenIT
-
An early return-to-work program for COVID-19 close contacts in healthcare during the Omicron wave in Japan
This article has 4 authors:Reviewed by ScreenIT
-
Immunogenicity and reactogenicity of a third dose of BNT162b2 vaccine for COVID-19 after a primary regimen with BBIBP-CorV or BNT162b2 vaccines in Lima, Peru
This article has 11 authors:Reviewed by ScreenIT
-
Comparative analysis of the outcomes of COVID-19 between patients infected with SARS-CoV-2 Omicron and Delta variants: a retrospective cohort study
This article has 29 authors:Reviewed by ScreenIT
-
Describing COVID-19 Patients During The First Two Months of Paxlovid (Nirmatrelvir/Ritonavir) Initiation in a Large HMO in Israel
This article has 6 authors:Reviewed by ScreenIT
-
SOFA score performs worse than age for predicting mortality in patients with COVID-19
This article has 9 authors:Reviewed by ScreenIT
-
Population-based Oral Cancer Service Screening Disrupted by COVID-19 Pandemic: Observational and Simulation Study
This article has 9 authors:Reviewed by ScreenIT
-
Kidney Transplant Recipients and Omicron: Outcomes, effect of vaccines and the efficacy and safety of novel treatments
This article has 14 authors:Reviewed by ScreenIT
-
Nsp1 proteins of human coronaviruses HCoV-OC43 and SARS-CoV2 inhibit stress granule formation
This article has 6 authors:Reviewed by ScreenIT