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
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Transmission networks of SARS-CoV-2 in Coastal Kenya during the first two waves: A retrospective genomic study
This article has 36 authors:This article has been curated by 1 group: -
Model-based evaluation of policy impacts and the continued COVID-19 risk at long term care facilities
This article has 5 authors:Reviewed by ScreenIT
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Assessment of the National Test Strategy on the Development of the COVID-19 Pandemic in Denmark
This article has 3 authors:Reviewed by ScreenIT
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Effects of IFIH1 rs1990760 variants on systemic inflammation and outcome in critically ill COVID-19 patients in an observational translational study
This article has 26 authors:Reviewed by ScreenIT
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Anticoagulants and Antiplatelets in COVID-19: Impact on Survival and Thromboembolism Development
This article has 5 authors:Reviewed by ScreenIT
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Global monitoring of the impact of the COVID-19 pandemic through online surveys sampled from the Facebook user base
This article has 15 authors:Reviewed by ScreenIT
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Cross-sectional cycle threshold values reflect epidemic dynamics of COVID-19 in Madagascar
This article has 24 authors:Reviewed by ScreenIT
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Excess mortality analysis for Germany for all three COVID-19 waves in 2020 - 2021
This article has 1 author:Reviewed by ScreenIT
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Confidence in government and rumors amongst international migrant workers involved in dormitory outbreaks of COVID-19: A cross-sectional survey
This article has 6 authors:Reviewed by ScreenIT
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Ethnic disparities in hospitalisation and hospital-outcomes during the second wave of COVID-19 infection in east London
This article has 7 authors:Reviewed by ScreenIT