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
-
Single-dose intranasal vaccination elicits systemic and mucosal immunity against SARS-CoV-2
This article has 11 authors:Reviewed by ScreenIT
-
STRATEGY FOR THE CONTAINMENT, MITIGATION, AND SUPPRESSION OF THE COVID-19 PANDEMIC IN FRAGILIZED COMMUNITIES ON THE PERIPHERY OF A LARGE BRAZILIAN CITY
This article has 9 authors:Reviewed by ScreenIT
-
Coagulation factor V is a T-cell inhibitor expressed by leukocytes in COVID-19
This article has 34 authors:Reviewed by ScreenIT
-
Designing of epitope-based vaccine from the conserved region of spike glycoprotein of SARS-CoV-2
This article has 3 authors:Reviewed by ScreenIT
-
The Hidden Pandemic of Family Violence During COVID-19: Unsupervised Learning of Tweets
This article has 5 authors:Reviewed by ScreenIT
-
COVID-19 Intensive Care Admissions Have Twice the Corrected Mortality of non-COVID-19 Viral Pneumonia
This article has 2 authors:Reviewed by ScreenIT
-
Social Distancing Has Merely Stabilized COVID-19 in the US
This article has 12 authors:Reviewed by ScreenIT
-
Differential Effects of Antiseptic Mouth Rinses on SARS-CoV-2 Infectivity In Vitro
This article has 7 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
-
Decontamination of common healthcare facility surfaces contaminated with SARS-CoV-2 using peracetic acid dry fogging
This article has 4 authors:Reviewed by ScreenIT
-
Observational cohort study of IP-10’s potential as a biomarker to aid in inflammation regulation within a clinical decision support protocol for patients with severe COVID-19
This article has 26 authors:Reviewed by ScreenIT