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
-
Severity of maternal SARS-CoV-2 infection and perinatal outcomes of women admitted to hospital during the omicron variant dominant period using UK Obstetric Surveillance System data: prospective, national cohort study
This article has 12 authors:Reviewed by ScreenIT
-
Diagnostic accuracy of age-adjusted D-dimer for pulmonary embolism among Emergency Department patients with suspected SARS-COV-2: A Canadian COVID-19 Emergency Department Rapid Response Network study
This article has 10 authors:Reviewed by ScreenIT
-
Concordance of SARS-CoV-2 Results in Self-collected Nasal Swabs vs Swabs Collected by Health Care Workers in Children and Adolescents
This article has 28 authors:Reviewed by ScreenIT
-
Virtual Assessment of Patients with Dry Eye Disease During the COVID-19 Pandemic: One clinician’s experience
This article has 3 authors:Reviewed by ScreenIT
-
Changes in outpatient care patterns and subsequent outcomes during the COVID-19 pandemic: A retrospective cohort analysis from a single payer healthcare system
This article has 5 authors:Reviewed by ScreenIT
-
Differential Activity of Repurposed Drugs as Receptor Binding Domain Antagonists for Omicron and Native Strains of SarsCov2
This article has 8 authors:Reviewed by ScreenIT
-
Booster vaccination protection against SARS-CoV-2 infections in young adults during an Omicron BA.1-predominant period: A retrospective cohort study
This article has 9 authors:Reviewed by ScreenIT
-
Sustained high prevalence of COVID-19 deaths from a systematic post-mortem study in Lusaka, Zambia: one year later
This article has 29 authors:Reviewed by ScreenIT
-
Impact of long-term COVID on workers: A systematic review protocol
This article has 4 authors:Reviewed by ScreenIT
-
Evaluation of safety and immunogenicity of receptor-binding domain-based COVID-19 vaccine (Corbevax) to select the optimum formulation in open-label, multicentre, and randomised phase-1/2 and phase-2 clinical trials
This article has 13 authors:Reviewed by ScreenIT