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
-
Cytokine biomarkers of COVID-19
This article has 14 authors:Reviewed by ScreenIT
-
Evaluating the impact of stay-at-home orders on the time to reach the peak burden of Covid-19 cases and deaths: does timing matter?
This article has 9 authors:Reviewed by ScreenIT
-
Clinical trial protocols of repurposed prophylaxis for COVID-19: A review
This article has 5 authors:Reviewed by ScreenIT
-
Prevalence and mortality of lung comorbidities among patients with COVID-19
This article has 7 authors:Reviewed by ScreenIT
-
Continuous Positive Airway Pressure (CPAP) face-mask ventilation is an easy and cheap option to manage a massive influx of patients presenting acute respiratory failure during the SARS-CoV-2 outbreak: A retrospective cohort study
This article has 20 authors:Reviewed by ScreenIT
-
Rethinking antiviral effects for COVID-19 in clinical studies: early initiation is key to successful treatment
This article has 20 authors:Reviewed by ScreenIT
-
Who do not wash their hands during the Covid-19 pandemic? Social media use as a potential predictor
This article has 5 authors:Reviewed by ScreenIT
-
Development and Prospective Validation of a Deep Learning Algorithm for Predicting Need for Mechanical Ventilation
This article has 13 authors:Reviewed by ScreenIT
-
Clinical features and predictors for patients with severe SARS-CoV-2 pneumonia at the start of the pandemic: a retrospective multicenter cohort study
This article has 13 authors:Reviewed by ScreenIT
-
Statistical methods for estimating cure fraction of COVID-19 patients in India
This article has 2 authors:Reviewed by ScreenIT