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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Efficacy of ancestral receptor-binding domain, S1 and trimeric spike protein vaccines against SARS-CoV-2 variants B.1.1.7, B.1.351, and B.1.617.1
This article has 8 authors:Reviewed by ScreenIT
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Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)–Specific Memory B Cells From Individuals With Diverse Disease Severities Recognize SARS-CoV-2 Variants of Concern
This article has 8 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Cross-reactive antibodies after SARS-CoV-2 infection and vaccination
This article has 30 authors:This article has been curated by 1 group: -
The Impact of COVID-19 Lockdowns on Mental Health Patient Populations: Evidence from Medical Claims Data
This article has 2 authors:Reviewed by ScreenIT
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Immune dynamics in a time of covid
This article has 1 author:Reviewed by ScreenIT
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COVID-19 Oximetry @home: evaluation of patient outcomes
This article has 10 authors:Reviewed by ScreenIT
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Prevention and Attenuation of Covid-19 with the BNT162b2 and mRNA-1273 Vaccines
This article has 57 authors:Reviewed by ScreenIT
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Is My Cough a Cold or Covid? A Qualitative Study of COVID-19 Symptom Recognition and Attitudes Toward Testing in the UK
This article has 5 authors:Reviewed by ScreenIT
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Enteric Coronavirus Infection and Treatment Modeled With an Immunocompetent Human Intestine-On-A-Chip
This article has 23 authors:Reviewed by ScreenIT
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Performance evaluation of virus concentration methods for implementing SARS-CoV-2 wastewater based epidemiology emphasizing quick data turnaround
This article has 8 authors:Reviewed by ScreenIT