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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Investigating Dynamics of COVID-19 Spread and Containment with Agent-Based Modeling
This article has 4 authors:Reviewed by ScreenIT
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Use of convalescent serum reduces severity of COVID-19 in nonhuman primates
This article has 10 authors:Reviewed by ScreenIT
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Age-related Differences in the Nasal Mucosal Immune Response to SARS-CoV-2
This article has 18 authors:Reviewed by ScreenIT
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Regional COVID-19 spread despite expected declines: how mitigation is hindered by spatio-temporal variation in local control measures
This article has 6 authors:Reviewed by ScreenIT
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When strong mitigation against a pandemic backfires
This article has 1 author:Reviewed by ScreenIT
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SARS-CoV-2 spike protein-mediated cell signaling in lung vascular cells
This article has 8 authors:Reviewed by ScreenIT
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Surgery and COVID-19: a rapid scoping review of the impact of the first wave of COVID-19 on surgical services
This article has 8 authors:Reviewed by ScreenIT
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Systematic Examination of Antigen-Specific Recall T Cell Responses to SARS-CoV-2 versus Influenza Virus Reveals a Distinct Inflammatory Profile
This article has 16 authors:Reviewed by ScreenIT
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Which early indicator allows for a better understanding of the evolution of the COVID-19 epidemic in France?
This article has 1 author:Reviewed by ScreenIT
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Quick and Easy Assembly of a One-Step qRT-PCR Kit for COVID-19 Diagnostics Using In-House Enzymes
This article has 22 authors:Reviewed by ScreenIT