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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Absolute quantification and degradation evaluation of SARS-CoV-2 RNA by droplet digital PCR
This article has 4 authors:Reviewed by ScreenIT
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Prevalence of COVID-19 in 10,000 Samples from 7853 Patients in Eastern Turkey by Positive Real-Time PCR
This article has 13 authors:Reviewed by ScreenIT
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The association of D-dimers with mortality, intensive care unit admission or acute respiratory distress syndrome in patients hospitalized with coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis
This article has 13 authors:Reviewed by ScreenIT
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Factors Associated with Hospitalization and Disease Severity in a Racially and Ethnically Diverse Population of COVID-19 Patients
This article has 4 authors:Reviewed by ScreenIT
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Ultra-fast one-step RT-PCR protocol for the detection of SARS-CoV-2
This article has 12 authors:Reviewed by ScreenIT
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Antiviral drug screen identifies DNA-damage response inhibitor as potent blocker of SARS-CoV-2 replication
This article has 28 authors:Reviewed by ScreenIT
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Comparison of 12 molecular detection assays for SARS-CoV-2
This article has 6 authors:Reviewed by ScreenIT
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Phylogenomics reveals viral sources, transmission, and potential superinfection in early-stage COVID-19 patients in Ontario, Canada
This article has 13 authors:Reviewed by ScreenIT
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Molecular Evolution of SARS-CoV-2 Structural Genes: Evidence of Positive Selection in Spike Glycoprotein
This article has 9 authors:Reviewed by ScreenIT
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Cellular exocytosis gene (EXOC6/6B): a potential molecular link for the susceptibility and mortality of COVID-19 in diabetic patients
This article has 5 authors:Reviewed by ScreenIT