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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COVID-19 vaccination in California: Are we equitable yet?
This article has 7 authors:Reviewed by ScreenIT
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Longitudinal immune dynamics of mild COVID-19 define signatures of recovery and persistence
This article has 32 authors:Reviewed by ScreenIT
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Early Transfusion of Convalescent Plasma Improves the Clinical Outcome in Severe SARS-CoV2 Infection
This article has 19 authors:Reviewed by ScreenIT
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Possibility of SARS-CoV-2 Infection in the Metastatic Microenvironment of Cancer
This article has 3 authors:Reviewed by ScreenIT
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Unified platform for genetic and serological detection of COVID-19 with single-molecule technology
This article has 19 authors:Reviewed by ScreenIT
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COVID-19 and mental health of individuals with different personalities
This article has 2 authors:Reviewed by ScreenIT
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Variable Induction of Pro-Inflammatory Cytokines by Commercial SARS CoV-2 Spike Protein Reagents: Potential Impacts of LPS on In Vitro Modeling and Pathogenic Mechanisms In Vivo
This article has 9 authors:Reviewed by ScreenIT
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Mortality audit of 19 patients with cancer and SARS-CoV-2 positivity
This article has 9 authors:Reviewed by ScreenIT
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Ivermectin for the Treatment of Coronavirus Disease 2019: A Systematic Review and Meta-analysis of Randomized Controlled Trials
This article has 6 authors:Reviewed by ScreenIT
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Vaccine-Hesitant Parents’ Considerations Regarding Covid-19 Vaccination of Adolescents
This article has 7 authors:Reviewed by ScreenIT