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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Age-Dependent Assessment of Genes Involved in Cellular Senescence, Telomere, and Mitochondrial Pathways in Human Lung Tissue of Smokers, COPD, and IPF: Associations With SARS-CoV-2 COVID-19 ACE2-TMPRSS2-Furin-DPP4 Axis
This article has 4 authors:Reviewed by ScreenIT
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Predictors of CPAP outcome in hospitalised COVID-19 patients
This article has 6 authors:Reviewed by ScreenIT
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Development and validation of a tool to appraise guidelines on SARS-CoV-2 infection control strategies in healthcare workers
This article has 15 authors:Reviewed by ScreenIT
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Impact of social distancing measures for preventing coronavirus disease 2019 [COVID-19]: A systematic review and meta-analysis protocol
This article has 2 authors:Reviewed by ScreenIT
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Evaluating the mental health impacts of the COVID-19 pandemic: perceived risk of COVID-19 infection and childhood trauma predict adult depressive symptoms in urban South Africa
This article has 3 authors:Reviewed by ScreenIT
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Impact Of Temperature and Sunshine Duration on Daily New Cases and Death due to COVID-19
This article has 5 authors:Reviewed by ScreenIT
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The SARS-CoV-2 spike protein alters barrier function in 2D static and 3D microfluidic in-vitro models of the human blood–brain barrier
This article has 12 authors:Reviewed by ScreenIT
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Dissecting the common and compartment-specific features of COVID-19 severity in the lung and periphery with single-cell resolution
This article has 4 authors:Reviewed by ScreenIT
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A novel biparatopic antibody-ACE2 fusion that blocks SARS-CoV-2 infection: implications for therapy
This article has 26 authors:Reviewed by ScreenIT
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Novel ACE2-IgG1 fusions with improved in vitro and in vivo activity against SARS-CoV2
This article has 8 authors:Reviewed by ScreenIT