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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Safety, tolerability, and immunogenicity of a SARS-CoV-2 recombinant spike RBD protein vaccine: A randomised, double-blind, placebo-controlled, phase 1-2 clinical trial (ABDALA Study)
This article has 30 authors:Reviewed by ScreenIT
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A large-scale systematic survey of SARS-CoV-2 antibodies reveals recurring molecular features
This article has 5 authors:Reviewed by ScreenIT
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Identification of susceptibility loci for adverse events following COVID-19 vaccination in the Japanese population: A web-based genome-wide association study
This article has 7 authors:Reviewed by ScreenIT
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Case Study of High-Throughput Drug Screening and Remote Data Collection for SARS-CoV-2 Main Protease by Using Serial Femtosecond X-ray Crystallography
This article has 22 authors:Reviewed by ScreenIT
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Protective Immunity of the Primary SARS-CoV-2 Infection Reduces Disease Severity Post Re-Infection with Delta Variants in Syrian Hamsters
This article has 7 authors:Reviewed by ScreenIT
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Favipiravir for the treatment of coronavirus disease 2019 pneumonia; a propensity score-matched cohort study
This article has 25 authors:Reviewed by ScreenIT
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COVID-19 lung disease shares driver AT2 cytopathic features with Idiopathic pulmonary fibrosis
This article has 10 authors:Reviewed by ScreenIT
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Effectiveness of a third dose of BNT162b2 or mRNA-1273 vaccine for preventing post-vaccination COVID-19 infection: an observational study
This article has 3 authors:Reviewed by ScreenIT
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On the role of financial support programs in mitigating the SARS-CoV-2 spread in Brazil
This article has 5 authors:Reviewed by ScreenIT
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COVID-19 Variant Detection with a High-Fidelity CRISPR-Cas12 Enzyme
This article has 18 authors:Reviewed by ScreenIT