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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Working in a care home during the COVID-19 pandemic: How has the pandemic changed working practices? A qualitative study
This article has 9 authors:Reviewed by ScreenIT
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Next generation plasma proteome profiling of COVID-19 patients with mild to moderate symptoms
This article has 8 authors:Reviewed by ScreenIT
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REACT-1 round 12 report: resurgence of SARS-CoV-2 infections in England associated with increased frequency of the Delta variant
This article has 24 authors:Reviewed by ScreenIT
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Gender Balance and Readability of COVID-19 Scientific Publishing: A Quantitative Analysis of 90,000 Preprint Manuscripts
This article has 9 authors:Reviewed by ScreenIT
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School Teachers’ Self-Reported Fear and Risk Perception during the COVID-19 Pandemic—A Nationwide Survey in Germany
This article has 5 authors:Reviewed by ScreenIT
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What can we learn from COVID-19 data by using epidemic models with unidentified infectious cases?
This article has 3 authors:Reviewed by ScreenIT
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Excellent negative predictive value (99.8%) of two rapid molecular COVID-19 tests compared to conventional RT-PCR for SARS-CoV-2 (COVID-19) in 2,011 tests performed in a single centre
This article has 7 authors:Reviewed by ScreenIT
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Age-Based Disparities in Hospitalizations and Mortality for Coronavirus Disease 2019 (COVID-19)
This article has 3 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Visible and Real Sizes of New COVID-19 Pandemic Waves in Ukraine
This article has 1 author:Reviewed by ScreenIT
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Screening for the alpha variant of SARS-CoV-2 (B.1.1.7) the impact of this variant on circulating biomarkers in hospitalised patients
This article has 6 authors:Reviewed by ScreenIT