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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Imported SARS-CoV-2 Variants of Concern Drove Spread of Infections across Kenya during the Second Year of the Pandemic
This article has 23 authors:Reviewed by ScreenIT
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Vaccination and variants: Retrospective model for the evolution of Covid-19 in Italy
This article has 3 authors:Reviewed by ScreenIT
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Assessment of indoor biological air quality at a mass gathering event in an unimproved exhibition facility during the COVID-19 pandemic using a novel air sampling technology
This article has 12 authors:Reviewed by ScreenIT
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Discriminatory Ability of Gas Chromatography–Ion Mobility Spectrometry to Identify Patients Hospitalized With COVID-19 and Predict Prognosis
This article has 16 authors:Reviewed by ScreenIT
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A nationwide questionnaire study of post-acute symptoms and health problems after SARS-CoV-2 infection in Denmark
This article has 9 authors:Reviewed by ScreenIT
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Genomic Surveillance of SARS-CoV-2 in a University Community: Insights Into Tracking Variants, Transmission, and Spread of Gamma (P.1) Variant
This article has 11 authors:Reviewed by ScreenIT
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Design, Synthesis and Evaluation of Inhibitors of the SARS-CoV2 nsp3 Macrodomain
This article has 15 authors:Reviewed by ScreenIT
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An immunoPET probe to SARS-CoV-2 reveals early infection of the male genital tract in rhesus macaques
This article has 18 authors:Reviewed by ScreenIT
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A strategy to optimize the peptide-based inhibitors against different mutants of the spike protein of SARS-CoV-2
This article has 3 authors:Reviewed by ScreenIT
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Efficient Neutralization of SARS-CoV-2 Omicron and Other VOCs by a Broad Spectrum Antibody 8G3
This article has 35 authors:Reviewed by ScreenIT