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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Evaluating the trade-off between transmissibility and virulence of SARS-CoV-2 by mathematical modeling
This article has 3 authors:Reviewed by ScreenIT
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Characterisation of B.1.1.7 and Pangolin coronavirus spike provides insights on the evolutionary trajectory of SARS-CoV-2
This article has 14 authors:Reviewed by ScreenIT
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COVID-19 vaccine distrust in Colombian university students: Frequency and associated variables
This article has 2 authors:Reviewed by ScreenIT
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Public opinion about the UK government during COVID-19 and implications for public health: A topic modeling analysis of open-ended survey response data
This article has 5 authors:Reviewed by ScreenIT
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Half-Year Longitudinal Seroprevalence of SARS-CoV-2-Antibodies and Rule Compliance in German Hospital Employees
This article has 10 authors:Reviewed by ScreenIT
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Pooling in a Pod: A Strategy for COVID-19 Testing to Facilitate a Safe Return to School
This article has 10 authors:Reviewed by ScreenIT
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Making Sense of Non-Randomized Comparative Treatment Studies in Times of Covid-19: A Case Study of Tocilizumab
This article has 5 authors:Reviewed by ScreenIT
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The effects of quality of evidence communication on perception of public health information about COVID-19: Two randomised controlled trials
This article has 4 authors:Reviewed by ScreenIT
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Rapid screening for variants of concern in routine SARS-CoV-2 PCR diagnostics
This article has 8 authors:Reviewed by ScreenIT
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The SARS-CoV-2 envelope and membrane proteins modulate maturation and retention of the spike protein, allowing assembly of virus-like particles
This article has 8 authors:Reviewed by ScreenIT