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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Effect of SARS-CoV-2 digital droplet RT-PCR assay sensitivity on COVID-19 wastewater based epidemiology
This article has 7 authors:Reviewed by ScreenIT
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The impacts of vaccination status and host factors during early infection on SARS-CoV-2 persistence: a retrospective single-center cohort study
This article has 7 authors:Reviewed by ScreenIT
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A boost with SARS-CoV-2 BNT162b2 mRNA vaccine elicits strong humoral responses independently of the interval between the first two doses
This article has 32 authors:Reviewed by ScreenIT
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When do persuasive messages on vaccine safety steer COVID-19 vaccine acceptance and recommendations? Behavioural insights from a randomised controlled experiment in Malaysia
This article has 11 authors:Reviewed by ScreenIT
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The SARS-CoV-2 Omicron BA.1 spike G446S potentiates HLA-A*24:02-restricted T cell immunity
This article has 13 authors:Reviewed by ScreenIT
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Effectiveness and Waning of Protection With Different SARS-CoV-2 Primary and Booster Vaccines During the Delta Pandemic Wave in 2021 in Hungary (HUN-VE 3 Study)
This article has 20 authors:Reviewed by ScreenIT
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Waning immunity to SARS-CoV-2 following vaccination or infection
This article has 2 authors:Reviewed by ScreenIT
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How did the COVID-19 Pandemic impact self-reported cancer screening rates in 12 Midwestern states?
This article has 1 author:Reviewed by ScreenIT
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Persistent post-COVID-19 smell loss is associated with inflammatory infiltration and altered olfactory epithelial gene expression
This article has 15 authors:Reviewed by ScreenIT
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In silico transcriptional analysis of asymptomatic and severe COVID-19 patients reveals the susceptibility of severe patients to other comorbidities and non-viral pathological conditions
This article has 2 authors:Reviewed by ScreenIT