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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From Face-to-Face to Online Modality: Implications for Undergraduate Learning While the World is Temporarily Closed in the Age of COVID-19
This article has 1 author:Reviewed by ScreenIT
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Hospital trainees’ worries, perceived sufficiency of information and reported psychological health during the COVID-19 pandemic
This article has 10 authors:Reviewed by ScreenIT
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Could SARS-CoV-2 be transmitted via speech droplets?
This article has 4 authors:Reviewed by ScreenIT
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Mutation Rates and Selection on Synonymous Mutations in SARS-CoV-2
This article has 6 authors:Reviewed by ScreenIT
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Comparing the COVID-19 pandemic in space and over time in Europe, using numbers of deaths, crude rates and adjusted mortality trend ratios
This article has 7 authors:Reviewed by ScreenIT
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Genetic conservation of SARS-CoV-2 RNA replication complex in globally circulating isolates and recently emerged variants from humans and minks suggests minimal pre-existing resistance to remdesivir
This article has 8 authors:Reviewed by ScreenIT
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Could Deficiencies in South African Data Be the Explanation for Its Early SARS-CoV-2 Peak?
This article has 1 author:Reviewed by ScreenIT
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Arabic validation and cross-cultural adaptation of the 5C scale for assessment of COVID-19 vaccines psychological antecedents
This article has 11 authors:Reviewed by ScreenIT
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Quantification of the South African Lockdown Regimes, for the SARS-CoV-2 Pandemic, and the Levels of Immunity They Require to Work
This article has 1 author:Reviewed by ScreenIT
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Inclusive health: modeling COVID-19 in correctional facilities and communities
This article has 2 authors:Reviewed by ScreenIT