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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A message of the majority with scientific evidence encourages young people to show their prosocial nature in COVID-19 vaccination
This article has 4 authors:Reviewed by ScreenIT
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Early Treatment for Covid-19 with SARS-CoV-2 Neutralizing Antibody Sotrovimab
This article has 22 authors:Reviewed by ScreenIT
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Age-Dependent Reduction in Neutralization against Alpha and Beta Variants of BNT162b2 SARS-CoV-2 Vaccine-Induced Immunity
This article has 14 authors:Reviewed by ScreenIT
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Observational Study on 255 Mechanically Ventilated Covid Patients at the Beginning of the USA Pandemic
This article has 4 authors:Reviewed by ScreenIT
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Antigenic minimalism of SARS-CoV-2 is linked to surges in COVID-19 community transmission and vaccine breakthrough infections
This article has 15 authors:Reviewed by ScreenIT
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Using explainable machine learning to characterise data drift and detect emergent health risks for emergency department admissions during COVID-19
This article has 8 authors:Reviewed by ScreenIT
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SARS‐CoV‐2 spike glycoprotein‐reactive T cells can be readily expanded from COVID‐19 vaccinated donors
This article has 6 authors:Reviewed by ScreenIT
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The isolated effect of age on the risk of COVID-19 severe outcomes: a systematic review with meta-analysis
This article has 6 authors:Reviewed by ScreenIT
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Non-pharmaceutical interventions and the emergence of pathogen variants
This article has 3 authors:Reviewed by ScreenIT
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The SARS-CoV-2 variants associated with infections in India, B.1.617, show enhanced spike cleavage by furin
This article has 9 authors:Reviewed by ScreenIT