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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SARS-CoV-2 surveillance in Italy through phylogenomic inferences based on Hamming distances derived from pan-SNPs, -MNPs and -InDels
This article has 6 authors:Reviewed by ScreenIT
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Engagement With Daily Testing Instead of Self-Isolating in Contacts of Confirmed Cases of SARS-CoV-2: A Qualitative Analysis
This article has 8 authors:Reviewed by ScreenIT
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Structurally and functionally distinct early antibody responses predict COVID-19 disease trajectory and mRNA vaccine response
This article has 42 authors:Reviewed by ScreenIT
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Variants of Concern Are Overrepresented Among Postvaccination Breakthrough Infections of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in Washington State
This article has 21 authors:Reviewed by ScreenIT
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Age- and airway disease related gene expression patterns of key SARS-CoV-2 entry factors in human nasal epithelia
This article has 5 authors:Reviewed by ScreenIT
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Exploring Access to Mental Health and Primary Care Services for People With Severe Mental Illness During the COVID-19 Restrictions
This article has 9 authors:Reviewed by ScreenIT
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Single-dose SARS-CoV-2 vaccine in a prospective cohort of COVID-19 patients
This article has 28 authors:Reviewed by ScreenIT
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Mask mandate and use efficacy for COVID-19 containment in US States
This article has 2 authors:Reviewed by ScreenIT
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COVID-19 County Level Severity Classification with Imbalanced Dataset: A NearMiss Under-sampling Approach
This article has 4 authors:Reviewed by ScreenIT
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Nucleocapsid mutations R203K/G204R increase the infectivity, fitness, and virulence of SARS-CoV-2
This article has 14 authors:Reviewed by ScreenIT