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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Structure-activity relationships of B.1.617 and other SARS-CoV-2 spike variants
This article has 13 authors:Reviewed by ScreenIT
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A simple, sensitive and quantitative FACS-based test for SARS-CoV-2 serology in humans and animals
This article has 11 authors:Reviewed by Review Commons, ScreenIT
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Investigating the Extent of Primer Dropout in SARS-CoV-2 Genome Sequences During the Early Circulation of Delta Variants
This article has 11 authors:Reviewed by ScreenIT
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Indirect effects of peaks in COVID admissions on access to surgery in the English NHS, differential effects by operation type, ethnicity and socio-economic status: a database study
This article has 7 authors:Reviewed by ScreenIT
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Elucidation of the interactions between SARS-CoV-2 Spike protein and wild and mutant types of IFITM proteins by in silico methods
This article has 2 authors:Reviewed by ScreenIT
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Professional practice for COVID-19 risk reduction among health care workers: A cross-sectional study with matched case-control comparison
This article has 8 authors:Reviewed by ScreenIT
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Analysis of 6.4 million SARS-CoV-2 genomes identifies mutations associated with fitness
This article has 13 authors:Reviewed by ScreenIT
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Trends in Covid-19 hospital mortality in women and men
This article has 5 authors:Reviewed by ScreenIT
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‘Citizens’ Attitudes Under Covid19’, a cross-country panel survey of public opinion in 11 advanced democracies
This article has 7 authors:Reviewed by ScreenIT
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Predicting the Effectiveness of Covid-19 Vaccines from SARS-CoV-2 Variants Neutralisation Data
This article has 3 authors:Reviewed by ScreenIT