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
-
Elevated levels of the pollutant PM2.5 in crowded subways of cities with high COVID-19 related mortality - when COVID-19 went underground
This article has 2 authors:Reviewed by ScreenIT
-
How to evaluate the success of the COVID-19 measures implemented by the Norwegian government by analyzing changes in doubling time
This article has 1 author:Reviewed by ScreenIT
-
Investigation into Quality of Life and Psychological Status of Different Populations during COVID-19: A study concerning Surrounding Areas of Wuhan
This article has 3 authors:Reviewed by ScreenIT
-
Prediction models for severe manifestations and mortality due to COVID ‐19: A systematic review
This article has 7 authors:Reviewed by ScreenIT
-
Severe Acute Respiratory Syndrome Coronavirus 2 Seroprevalence Survey Among 17 971 Healthcare and Administrative Personnel at Hospitals, Prehospital Services, and Specialist Practitioners in the Central Denmark Region
This article has 14 authors:Reviewed by ScreenIT
-
A comparison of five epidemiological models for transmission of SARS-CoV-2 in India
This article has 9 authors:Reviewed by ScreenIT
-
SCOAT-Net: A novel network for segmenting COVID-19 lung opacification from CT images
This article has 8 authors:Reviewed by ScreenIT
-
Treatment of irritant contact dermatitis in healthcare settings during the COVID19 pandemic: The emollient Dermol 500 exhibits virucidal activity against influenza A virus and SARS-CoV-2
This article has 8 authors:Reviewed by ScreenIT
-
Protocol for rapid implementation of a SARS-CoV-2 sero-survey during the 2020 COVID-19 pandemic – who, where, how?
This article has 15 authors:Reviewed by ScreenIT
-
Cellular events of acute, resolving or progressive COVID-19 in SARS-CoV-2 infected non-human primates
This article has 19 authors:Reviewed by ScreenIT