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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Socio-economic determinants of mobility responses during the first wave of COVID-19 in Italy: from provinces to neighbourhoods
This article has 6 authors:Reviewed by ScreenIT
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Clinical outcomes and risk factors for COVID-19 among migrant populations in high-income countries: A systematic review
This article has 22 authors:Reviewed by ScreenIT
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Azithromycin Plus Zinc Sulfate Rapidly and Synergistically Suppresses IκBα-Mediated In Vitro Human Airway Cell ACE2 Expression for SARS-CoV-2 Entry
This article has 8 authors:Reviewed by ScreenIT
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Generation of tonsil organoids as an ex vivo model for SARS-CoV-2 infection
This article has 13 authors:Reviewed by ScreenIT
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Learning where to look for COVID-19 growth: Multivariate analysis of COVID-19 cases over time using explainable convolution–LSTM
This article has 4 authors:Reviewed by ScreenIT
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Rapid environmental monitoring, capture, and destruction activities of SARS-CoV-2 during the Covid-19 health emergency
This article has 4 authors:Reviewed by ScreenIT
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Age disaggregation of crude excess deaths during the 2020 spring COVID–19 outbreak in Spain and Netherlands
This article has 1 author:Reviewed by ScreenIT
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Repeat SARS-CoV-2 testing models for residential college populations
This article has 3 authors:Reviewed by ScreenIT
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Targeting Scavenger Receptor Type B-1 (SR-B1) and Cholesterol Inhibits Entry of SARS-CoV-2 Pseudovirus in Cell Culture
This article has 6 authors:Reviewed by ScreenIT
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Multisystem Inflammatory Syndrome in Children: Survey of Protocols for Early Hospital Evaluation and Management
This article has 34 authors:Reviewed by ScreenIT