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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Increasing SARS-CoV-2 antibody prevalence in England at the start of the second wave: REACT-2 Round 4 cross-sectional study in 160,000 adults
This article has 11 authors:Reviewed by ScreenIT
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Seroprevalence and dynamics of anti-SARS-CoV-2 antibody among healthcare workers following ChAdOx1 nCoV-19 vaccination
This article has 5 authors:Reviewed by ScreenIT
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Comparative Profiles of SARS-CoV-2 Spike-Specific Human Milk Antibodies Elicited by mRNA- and Adenovirus-Based COVID-19 Vaccines
This article has 9 authors:Reviewed by ScreenIT
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Turnover of SARS-CoV-2 Lineages Shaped the Pandemic and Enabled the Emergence of New Variants in the State of Rio de Janeiro, Brazil
This article has 27 authors:Reviewed by ScreenIT
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Modeling shield immunity to reduce COVID-19 transmission in long-term care facilities
This article has 5 authors:Reviewed by ScreenIT
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Retrospective evaluation of real-time estimates of global COVID-19 transmission trends and mortality forecasts
This article has 21 authors:Reviewed by ScreenIT
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Intentions to participate in cervical and colorectal cancer screening during the COVID-19 pandemic: A mixed-methods study
This article has 18 authors:Reviewed by ScreenIT
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Virlaza™ Inhibits Sars-COV-2-induced Inflammatory Response of Bronchial Epithelial Cells and Pulmonary Fibroblast
This article has 7 authors:Reviewed by ScreenIT
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Previously unrecognized non-reproducible antibody-antigen interactions and their implications for diagnosis of viral infections including COVID-19
This article has 24 authors:Reviewed by ScreenIT
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Detailed stratified GWAS analysis for severe COVID-19 in four European populations
This article has 333 authors:Reviewed by ScreenIT