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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Autoantibodies in COVID‐19 correlate with antiviral humoral responses and distinct immune signatures
This article has 16 authors:Reviewed by ScreenIT
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COVID ‐19‐Related School Disruptions and Well‐Being of Children and Adolescents in Geneva
This article has 10 authors:Reviewed by ScreenIT
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The dynamics of SARS-CoV-2 infectivity with changes in aerosol microenvironment
This article has 12 authors:Reviewed by ScreenIT
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Granulocyte-macrophage colony-stimulating factor (GM-CSF) antibodies treatment for COVID-19 patients: a meta-analysis
This article has 6 authors:Reviewed by ScreenIT
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Climate Surveys of Biomedical PhD Students and Training Faculty Members in the Time of Covid
This article has 3 authors:Reviewed by ScreenIT
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Outcomes of COVID-19 infection in patients with chronic kidney disease on maintenance hemodialysis at a COVID hospital in India
This article has 11 authors:Reviewed by ScreenIT
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COVID-19 impact on routine immunisations for vaccine-preventable diseases: Projecting the effect of different routes to recovery
This article has 11 authors:Reviewed by ScreenIT
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COVID-19 vaccine effectiveness among healthcare workers in Portugal: results from a hospital-based cohort study, December 2020 to November 2021
This article has 9 authors:Reviewed by ScreenIT
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Infectious disease dynamics and restrictions on social gathering size
This article has 4 authors:Reviewed by ScreenIT
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Temporary antimetabolite treatment hold boosts SARS-CoV-2 vaccination–specific humoral and cellular immunity in kidney transplant recipients
This article has 29 authors:Reviewed by ScreenIT