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 accurate identification of COVID-19 infection through machine learning based on clinical available blood test results
This article has 14 authors:Reviewed by ScreenIT
-
A case of SARS-CoV-2 carrier for 32 days with several times false negative nucleic acid tests
This article has 11 authors:Reviewed by ScreenIT
-
Virologic and clinical characteristics for prognosis of severe COVID-19: a retrospective observational study in Wuhan, China
This article has 21 authors:Reviewed by ScreenIT
-
Neutralizing antibody responses to SARS-CoV-2 in a COVID-19 recovered patient cohort and their implications
This article has 14 authors:Reviewed by ScreenIT
-
Urinalysis, but Not Blood Biochemistry, Detects the Early Renal Impairment in Patients with COVID-19
This article has 10 authors:Reviewed by ScreenIT
-
Modelling fatality curves of COVID-19 and the effectiveness of intervention strategies
This article has 7 authors:Reviewed by ScreenIT
-
Frequency of testing for COVID 19 infection and the presence of higher number of available beds per country predict outcomes with the infection, not GDP of the country – A descriptive statistical analysis
This article has 3 authors:Reviewed by ScreenIT
-
ACE2 gene variants may underlie interindividual variability and susceptibility to COVID-19 in the Italian population
This article has 139 authors:Reviewed by ScreenIT
-
Monitoring Italian COVID-19 spread by a forced SEIRD model
This article has 2 authors:Reviewed by ScreenIT
-
Case fatality rate in COVID-19: a systematic review and meta-analysis
This article has 3 authors:Reviewed by ScreenIT