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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Autoantibodies linked to autoimmune diseases associate with COVID-19 outcomes
This article has 30 authors:Reviewed by ScreenIT
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Serological responses and six-month trajectories to COVID-19 Comirnaty and Spikevax booster vaccine, September 2021 to January 2022, London, United Kingdom
This article has 14 authors:Reviewed by ScreenIT
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A natural broad-spectrum inhibitor of enveloped virus entry, effective against SARS-CoV-2 and Influenza A Virus in preclinical animal models
This article has 14 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Bioinformatic analysis of B and T cell epitopes from SARS-CoV-2 Spike, Membrane and Nucleocapsid proteins as a strategy to assess possible cross-reactivity between emerging variants, including Omicron, and other human coronaviruses
This article has 5 authors:Reviewed by ScreenIT
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An ACE2-blocking antibody confers broad neutralization and protection against Omicron and other SARS-CoV-2 variants
This article has 27 authors:Reviewed by ScreenIT
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Variational Phylodynamic Inference Using Pandemic-scale Data
This article has 2 authors:Reviewed by ScreenIT
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Biomechanical Dependence of SARS-CoV-2 Infections
This article has 8 authors:Reviewed by ScreenIT
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Timeliness of reporting of SARS-CoV-2 seroprevalence results and their utility for infectious disease surveillance
This article has 9 authors:Reviewed by ScreenIT
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Coronavirus disease 2019 (COVID‐19)–related smell and taste impairment with widespread diffusion of severe acute respiratory syndrome–coronavirus‐2 (SARS‐CoV‐2) Omicron variant
This article has 14 authors:Reviewed by ScreenIT
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Intramuscular mRNA BNT162b2 vaccine against SARS-CoV-2 induces neutralizing salivary IgA
This article has 29 authors:Reviewed by ScreenIT