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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Expanding access to SARS-CoV-2 IgG and IgM serologic testing using fingerstick whole blood, plasma, and rapid lateral flow assays
This article has 6 authors:Reviewed by ScreenIT
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A Rapid Method to Evaluate Pre-Travel Programs for COVID-19: A Study in Hawaii
This article has 7 authors:Reviewed by ScreenIT
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To Knot or Not to Knot: Multiple Conformations of the SARS-CoV-2 Frameshifting RNA Element
This article has 6 authors:Reviewed by ScreenIT
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A novel SARS-CoV-2 related coronavirus in bats from Cambodia
This article has 16 authors: -
Preferential uptake of SARS-CoV-2 by pericytes potentiates vascular damage and permeability in an organoid model of the microvasculature
This article has 16 authors:Reviewed by ScreenIT
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The vaccine-elicited immunoglobulin profile in milk after COVID-19 mRNA-based vaccination is IgG-dominant and lacks secretory antibodies
This article has 5 authors:Reviewed by ScreenIT
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Predictive Immunological, Virological, and Routine Laboratory Markers for Critical COVID-19 on Admission
This article has 17 authors:Reviewed by ScreenIT
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An mRNA vaccine against SARS-CoV-2: Lyophilized, liposome-based vaccine candidate EG-COVID induces high levels of virus neutralizing antibodies
This article has 14 authors:Reviewed by ScreenIT
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An international, interlaboratory ring trial confirms the feasibility of an extraction-less “direct” RT-qPCR method for reliable detection of SARS-CoV-2 RNA in clinical samples
This article has 43 authors:Reviewed by ScreenIT
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Retrospective Assessment of Treatments of Hospitalized Covid-19 Patients
This article has 14 authors:Reviewed by ScreenIT