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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Adaptive data-driven age and patch mixing in contact networks with recurrent mobility
This article has 6 authors:Reviewed by ScreenIT
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ViralFlow: A Versatile Automated Workflow for SARS-CoV-2 Genome Assembly, Lineage Assignment, Mutations and Intrahost Variant Detection
This article has 8 authors:Reviewed by ScreenIT
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The Importance of Semantic Network Brain Regions in Integrating Prior Knowledge with an Ongoing Dialogue
This article has 4 authors:Reviewed by ScreenIT
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“Epidemiological profile of patients with stage 5 chronic kidney disease on dialysis with Covid 19 infection in a Public Hospital-Perú”
This article has 3 authors:Reviewed by ScreenIT
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Disproportionality analysis of adverse neurological and psychiatric reactions with the ChAdOx1 (Oxford-AstraZeneca) and BNT162b2 (Pfizer-BioNTech) COVID-19 vaccines in the United Kingdom
This article has 9 authors:Reviewed by ScreenIT
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Humoral and cellular immune responses on SARS-CoV-2 vaccines in patients with anti-CD20 therapies: a systematic review and meta-analysis of 1342 patients
This article has 9 authors:Reviewed by ScreenIT
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Mini-XT, a miniaturized tagmentation-based protocol for efficient sequencing of SARS-CoV-2
This article has 18 authors:Reviewed by ScreenIT
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Effect of common maintenance drugs on the risk and severity of COVID-19 in elderly patients
This article has 6 authors:Reviewed by ScreenIT
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SARS-CoV-2 infections elicit higher levels of original antigenic sin antibodies compared with SARS-CoV-2 mRNA vaccinations
This article has 25 authors:Reviewed by ScreenIT
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Immune response to SARS-CoV-2 after a booster of mRNA-1273: an open-label phase 2 trial
This article has 17 authors:Reviewed by ScreenIT