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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REACT-1 round 9 final report: Continued but slowing decline of prevalence of SARS-CoV-2 during national lockdown in England in February 2021
This article has 16 authors:Reviewed by ScreenIT
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Prevalence of SARS-CoV-2 antibodies in Denmark 2020: results from nationwide, population-based sero-epidemiological surveys
This article has 6 authors:Reviewed by ScreenIT
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Surging COVID-19 in Bangladesh driven by B.1.351 variant
This article has 23 authors:Reviewed by ScreenIT
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A co-design of clinical virtual care pathways to engage and support families requiring neonatal intensive care in response to the COVID-19 pandemic (COVES study)
This article has 19 authors:Reviewed by ScreenIT
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Clinical subphenotypes in COVID-19: derivation, validation, prediction, temporal patterns, and interaction with social determinants of health
This article has 7 authors:Reviewed by ScreenIT
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Modelling how face masks and symptoms-based quarantine synergistically and cost-effectively reduce SARS-CoV-2 transmission in Bangladesh
This article has 11 authors:Reviewed by ScreenIT
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Analyzing the effect of relaxing restriction on the COVID-19 outbreak for some US states
This article has 3 authors:Reviewed by ScreenIT
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Circulating SARS-CoV-2 spike N439K variants maintain fitness while evading antibody-mediated immunity
This article has 66 authors:Reviewed by ScreenIT
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SARS-CoV-2 mutations acquired in mink reduce antibody-mediated neutralization
This article has 13 authors:Reviewed by ScreenIT
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Ultra-fast, high throughput and inexpensive detection of SARS-CoV-2 seroconversion using Ni2+ magnetic beads
This article has 14 authors:Reviewed by ScreenIT