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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The Host Cell ViroCheckpoint: Identification and Pharmacologic Targeting of Novel Mechanistic Determinants of Coronavirus-Mediated Hijacked Cell States
This article has 10 authors:Reviewed by ScreenIT
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Theoretical investigation of pre-symptomatic SARS-CoV-2 person-to-person transmission in households
This article has 3 authors:Reviewed by ScreenIT
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Molecular conservation and differential mutation on ORF3a gene in Indian SARS-CoV2 genomes
This article has 4 authors:Reviewed by ScreenIT
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Reliable and accurate diagnostics from highly multiplexed sequencing assays
This article has 9 authors:Reviewed by ScreenIT
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Triaging of respiratory protective equipment on the assumed risk of SARS-CoV-2 aerosol exposure in patient-facing healthcare workers delivering secondary care: a rapid review
This article has 5 authors:Reviewed by ScreenIT
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Cytokine profile in plasma of severe COVID-19 does not differ from ARDS and sepsis
This article has 15 authors:Reviewed by ScreenIT
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The MUC5B Promoter Polymorphism Associates With Severe COVID-19 in the European Population
This article has 9 authors:Reviewed by ScreenIT
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A Risk Score to Predict Admission to the Intensive Care Unit in Patients with COVID-19: the ABC-GOALS score
This article has 6 authors:Reviewed by ScreenIT
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Progression, recovery and fatality in patients with SARS-CoV-2 related pneumonia in Wuhan, China: a single-centered, retrospective, observational study
This article has 12 authors:Reviewed by ScreenIT
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Basic Reproduction Rate and Case Fatality Rate of COVID-19: Application of Meta-analysis
This article has 2 authors:Reviewed by ScreenIT