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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MVA Vector Vaccines Inhibit SARS CoV-2 Replication in Upper and Lower Respiratory Tracts of Transgenic Mice and Prevent Lethal Disease
This article has 7 authors:Reviewed by ScreenIT
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Lower Rate of Daily Smokers With Symptomatic COVID-19: A Monocentric Self-Report of Smoking Habit Study
This article has 14 authors:Reviewed by ScreenIT
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Epidemiological feature, viral shedding, and antibody seroconversion among asymptomatic SARS-CoV-2 carriers and symptomatic/presymptomatic COVID-19 patients
This article has 16 authors:Reviewed by ScreenIT
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Evaluation of a surrogate virus neutralization test for high-throughput serosurveillance of SARS-CoV-2
This article has 12 authors:Reviewed by ScreenIT
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Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients
This article has 4 authors:Reviewed by ScreenIT
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Cell-free DNA tissues of origin by methylation profiling reveals significant cell, tissue, and organ-specific injury related to COVID-19 severity
This article has 13 authors:Reviewed by ScreenIT
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Quantifying Inaccuracies in Modeling COVID-19 Pandemic within a Continuous Time Picture
This article has 1 author:Reviewed by ScreenIT
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Enhanced comparisons of COVID-19 mortality across populations
This article has 3 authors:Reviewed by ScreenIT
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Biological attributes of age and gender variations in Indian COVID-19 cases: A retrospective data analysis
This article has 4 authors:Reviewed by ScreenIT
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On the lag between deaths and infections in the first phase of the Covid-19 pandemic
This article has 2 authors:Reviewed by ScreenIT