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
-
Rapid and parallel adaptive mutations in spike S1 drive clade success in SARS-CoV-2
This article has 3 authors:Reviewed by ScreenIT
-
Analysis of the prediction of the 2021 time-evolution of the Covid-19 pandemic in Italy using a Planck’s distribution
This article has 2 authors:Reviewed by ScreenIT
-
The statistical analysis of daily data associated with different parameters of the New Coronavirus COVID-19 pandemic in Georgia and their two-week interval prediction in summer 2021
This article has 3 authors:Reviewed by ScreenIT
-
Increased B Cell Selection Stringency In Germinal Centers Can Explain Improved COVID-19 Vaccine Efficacies With Low Dose Prime or Delayed Boost
This article has 5 authors:Reviewed by ScreenIT
-
Adaptive convergent evolution of genome proofreading in SARS-CoV2: insights into the Eigen’s paradox
This article has 3 authors:Reviewed by ScreenIT
-
COVID ‐19 outcomes in patients with cancer: Findings from the University of California health system database
This article has 9 authors:Reviewed by ScreenIT
-
Prevalence and incidence of stress, depression, and anxiety symptoms among Brazilians in quarantine across the early phases of the COVID-19 crisis
This article has 3 authors:Reviewed by ScreenIT
-
Autoantibodies against interleukin-1 receptor antagonist in multisystem inflammatory syndrome in children: a multicentre, retrospective, cohort study
This article has 36 authors:Reviewed by ScreenIT
-
Reduced Magnitude and Durability of Humoral Immune Responses to COVID-19 mRNA Vaccines Among Older Adults
This article has 26 authors:Reviewed by ScreenIT
-
Elevated plasma levels of CXCL16 in severe COVID-19 patients
This article has 6 authors:Reviewed by ScreenIT