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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COVID‐19 sniffer dog experimental training: Which protocol and which implications for reliable sidentification?
This article has 13 authors:Reviewed by ScreenIT
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Safety and immunogenicity of two recombinant DNA COVID-19 vaccines containing the coding regions of the spike or spike and nucleocapsid proteins: an interim analysis of two open-label, non-randomised, phase 1 trials in healthy adults
This article has 18 authors:Reviewed by ScreenIT
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Structural Basis for SARS-CoV-2 Nucleocapsid Protein Recognition by Single-Domain Antibodies
This article has 3 authors:Reviewed by ScreenIT
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SARS-CoV-2 infection studies in lung organoids identify TSPAN8 as novel mediator
This article has 28 authors:Reviewed by ScreenIT
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Reliability of Wastewater Analysis for Monitoring COVID-19 Incidence Revealed by a Long-Term Follow-Up Study
This article has 2 authors:Reviewed by ScreenIT
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Quantifying the role of naturally- and vaccine-derived neutralizing antibodies as a correlate of protection against COVID-19 variants
This article has 8 authors:Reviewed by ScreenIT
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Acute kidney injury in hospitalized patients due to COVID-19
This article has 15 authors:Reviewed by ScreenIT
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Heterologous ChAdOx1 nCoV-19 and BNT162b2 prime-boost vaccination elicits potent neutralizing antibody responses and T cell reactivity against prevalent SARS-CoV-2 variants
This article has 19 authors:Reviewed by ScreenIT
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Endomembrane systems are reorganized by ORF3a and Membrane (M) of SARS-CoV-2
This article has 8 authors:Reviewed by ScreenIT
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A one-step real-time RT-PCR assay for simultaneous typing of SARS-CoV-2 mutations associated with the E484K and N501Y spike protein amino-acid substitutions
This article has 12 authors:Reviewed by ScreenIT