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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Analytical Sensitivity of the SalivaDirect™ Assay on the Liberty16 for detecting SARS-CoV-2 B.1.1.529 (“Omicron”)
This article has 5 authors:Reviewed by ScreenIT
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Effectiveness and safety of PRP on persistent olfactory dysfunction related to COVID-19
This article has 7 authors:Reviewed by ScreenIT
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Validation of the RT-LAMP assay in a large cohort of nasopharyngeal swab samples shows that it is a useful screening method for detecting SARS-CoV-2 and its VOC variants
This article has 30 authors:Reviewed by ScreenIT
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Comparative transmission of SARS-CoV-2 Omicron (B.1.1.529) and Delta (B.1.617.2) variants and the impact of vaccination: national cohort study, England
This article has 23 authors:Reviewed by ScreenIT
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Mathematical model of a cytokine storm
This article has 3 authors:Reviewed by ScreenIT
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Meta-analyses on SARS-CoV-2 Viral Titers in Wastewater and Their Correlations to Epidemiological Indicators
This article has 8 authors:Reviewed by ScreenIT
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City-wide wastewater genomic surveillance through the successive emergence of SARS-CoV-2 Alpha and Delta variants
This article has 14 authors:Reviewed by ScreenIT
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Non-productive exposure of PBMCs to SARS-CoV-2 induces cell-intrinsic innate immunity responses
This article has 15 authors:Reviewed by ScreenIT
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Experiences of the physicians in the largest COVID-19 dedicated hospital of Bangladesh about COVID-19 and its aftermath
This article has 16 authors:Reviewed by ScreenIT
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Modeling COVID-19 Incidence by the Renewal Equation after Removal of Administrative Bias and Noise
This article has 3 authors:Reviewed by ScreenIT