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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Structure and Dynamics of RNA Guanine Quadruplexes in SARS-CoV-2 Genome. Original Strategies against Emerging Viruses
This article has 7 authors:Reviewed by ScreenIT
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Rapid Identification of SARS-CoV-2 Variants of Concern Using a Portable peak PCR Platform
This article has 14 authors:Reviewed by ScreenIT
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Unusually High Risks of COVID-19 Mortality with Age-Related Comorbidities: An Adjusted Meta-Analysis Method to Improve the Risk Assessment of Mortality Using the Comorbid Mortality Data
This article has 5 authors:Reviewed by ScreenIT
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Generation of potent cellular and humoral immunity against SARS-CoV-2 antigens via conjugation to a polymeric glyco-adjuvant
This article has 28 authors:Reviewed by ScreenIT
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RT-qPCR half reaction optimization for the detection of SARS-CoV-2
This article has 8 authors:Reviewed by ScreenIT
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Safety, reactogenicity, and immunogenicity of homologous and heterologous prime-boost immunisation with ChAdOx1 nCoV-19 and BNT162b2: a prospective cohort study
This article has 71 authors:Reviewed by ScreenIT
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REGEN-COV Antibody Combination and Outcomes in Outpatients with Covid-19
This article has 40 authors:Reviewed by ScreenIT
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Missense variants in human ACE2 strongly affect binding to SARS-CoV-2 Spike providing a mechanism for ACE2 mediated genetic risk in Covid-19: A case study in affinity predictions of interface variants
This article has 6 authors:Reviewed by ScreenIT
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Evaluation of a Rapid Implementation of Telemedicine for Delivery of Obstetric Care During the COVID-19 Pandemic
This article has 3 authors:Reviewed by ScreenIT
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SARS-CoV-2 infection of BNT162b2(mRNA)-vaccinated individuals is not restricted to variants of concern or high-risk exposure environments
This article has 19 authors:Reviewed by ScreenIT