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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Incidence of COVID-19 reinfection among Midwestern healthcare employees
This article has 5 authors:Reviewed by ScreenIT
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Serial evaluation of anti-SARS-CoV-2 IgG antibody and breakthrough infections in BNT162b2 Vaccinated migrant workers from Bangladesh
This article has 3 authors:Reviewed by ScreenIT
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Street images classification according to COVID-19 risk in Lima, Peru: a convolutional neural networks feasibility analysis
This article has 3 authors:Reviewed by ScreenIT
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Comprehensive evaluation of COVID-19 patient short- and long-term outcomes: Disparities in healthcare utilization and post-hospitalization outcomes
This article has 10 authors:Reviewed by ScreenIT
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Airway management, procedural data, and in-hospital mortality records of patients undergoing surgery for mucormycosis associated with coronavirus disease (COVID-19)
This article has 17 authors:Reviewed by ScreenIT
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The contribution of hospital-acquired infections to the COVID-19 epidemic in England in the first half of 2020
This article has 58 authors:Reviewed by ScreenIT
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Phylogenetic evidence for asparagine to aspartic acid protein editing of N-glycosylated SARS-CoV-2 viral proteins by NGLY1 deglycosylation/deamidation suggests an unusual vaccination strategy
This article has 3 authors:Reviewed by ScreenIT
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Analysis of SARS-CoV-2 variants from 24,181 patients exemplifies the role of globalisation and zoonosis in pandemics
This article has 24 authors:Reviewed by ScreenIT
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Determinants of early antibody responses to COVID-19 mRNA vaccines in a cohort of exposed and naïve healthcare workers
This article has 30 authors:Reviewed by ScreenIT
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The efficiency of dynamic regional lockdown approach in controlling the COVID-19 epidemic. Insights from the agent-based epidemiological model for Poland
This article has 12 authors:Reviewed by ScreenIT