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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SARS-CoV-2 Variants Associated with Vaccine Breakthrough in the Delaware Valley through Summer 2021
This article has 38 authors:Reviewed by ScreenIT
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Long distance airborne transmission of SARS-CoV-2: rapid systematic review
This article has 7 authors:Reviewed by ScreenIT
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Vaccine effectiveness of ChAdOx1 nCoV-19 against COVID-19 in a socially vulnerable community in Rio de Janeiro, Brazil: a test-negative design study
This article has 9 authors:Reviewed by ScreenIT
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High-titer neutralization of Mu and C.1.2 SARS-CoV-2 variants by vaccine-elicited antibodies of previously infected individuals
This article has 8 authors:Reviewed by ScreenIT
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Wastewater and surface monitoring to detect COVID-19 in elementary school settings: The Safer at School Early Alert project
This article has 45 authors:Reviewed by ScreenIT
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Transcriptome data from human nasal epithelial cells infected by H3N2 influenza virus indicate early unbalanced ROS/RNA levels, temporarily increased aerobic fermentation linked to enhanced α-tubulin and rapid energy-dependent IRF9-marked immunization
This article has 4 authors:Reviewed by ScreenIT
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Effect of the third dose of BNT162b2 vaccine on quantitative SARS-CoV-2 spike 1–2 IgG antibody titers in healthcare personnel
This article has 12 authors:Reviewed by ScreenIT
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Characterization of immune responses in fully vaccinated individuals after breakthrough infection with the SARS-CoV-2 delta variant
This article has 20 authors:Reviewed by ScreenIT
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SARS-CoV-2 variant transmission in a community-health population (Mexico City, Mexico)
This article has 12 authors:Reviewed by ScreenIT
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Wastewater-Based Epidemiological Modeling for Continuous Surveillance of COVID-19 Outbreak
This article has 5 authors:Reviewed by ScreenIT