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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ScRNA-seq discover cell cluster change under OAB——ACE2 expression reveal possible alternation of 2019-nCoV infectious pathway
This article has 8 authors:Reviewed by ScreenIT
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Cross-neutralization antibodies against SARS-CoV-2 and RBD mutations from convalescent patient antibody libraries
This article has 22 authors:Reviewed by ScreenIT
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Belief of having had unconfirmed Covid-19 infection reduces willingness to participate in app-based contact tracing
This article has 4 authors:Reviewed by ScreenIT
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Treatment with Arbidol and Moxifloxacin in Ordinary and Severe Adult Patients Infected with COVID-19
This article has 13 authors:Reviewed by ScreenIT
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Side-by-Side Comparison of Three Fully Automated SARS-CoV-2 Antibody Assays with a Focus on Specificity
This article has 15 authors:Reviewed by ScreenIT
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SARS-CoV-2 genomic and subgenomic RNAs in diagnostic samples are not an indicator of active replication
This article has 3 authors:Reviewed by ScreenIT
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A CRISPR-Cas12a-based specific enhancer for more sensitive detection of SARS-CoV-2 infection
This article has 44 authors:Reviewed by ScreenIT
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Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment
This article has 138 authors:Reviewed by ScreenIT
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Peripheral blood immune status at clinical onset correlates with severity of Coronavirus Disease 2019
This article has 8 authors:Reviewed by ScreenIT
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The use of germicidal ultraviolet light, vaporized hydrogen peroxide and dry heat to decontaminate face masks and filtering respirators contaminated with a SARS-CoV-2 surrogate virus
This article has 9 authors:Reviewed by ScreenIT