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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A framework for identifying regional outbreak and spread of COVID-19 from one-minute population-wide surveys
This article has 11 authors:Reviewed by ScreenIT
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Understanding the epidemiological characteristics of the primary healthcare corporation-based COVID-19 swabbed persons in Qatar, 2020
This article has 7 authors:Reviewed by ScreenIT
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Levels of genetic diversity of SARS-CoV-2 virus: reducing speculations about the genetic variability of the virus in South America
This article has 5 authors:Reviewed by ScreenIT
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Evaluation of Depression, Anxiety and Sleep Quality in the Brazilian Population During Social Isolation Due to the New Coronavirus (SARS-CoV-2) pandemic: the DEGAS-CoV Study/ Avaliação da Depressão, Ansiedade e Qualidade do Sono na População Brasileira Durante o Isolamento Social Devido à Nova Pandemia do Coronavírus (SARS-CoV-2): o Estudo DEGAS-CoV
This article has 25 authors:Reviewed by ScreenIT
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Viral RNA load in plasma is associated with critical illness and a dysregulated host response in COVID-19
This article has 66 authors:Reviewed by ScreenIT
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The main factors influencing COVID-19 spread and deaths in Mexico: A comparison between phases I and II
This article has 2 authors:Reviewed by ScreenIT
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Transmissibility of COVID-19 depends on the viral load around onset in adult and symptomatic patients
This article has 14 authors:Reviewed by ScreenIT
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Light Sheet Microscopy-Assisted 3D Analysis of SARS-CoV-2 Infection in the Respiratory Tract of the Ferret Model
This article has 10 authors:Reviewed by ScreenIT
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Comparative immune profiling of acute respiratory distress syndrome patients with or without SARS-CoV-2 infection
This article has 25 authors:Reviewed by ScreenIT
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Improved production of SARS-CoV-2 spike receptor-binding domain (RBD) for serology assays
This article has 10 authors:Reviewed by ScreenIT