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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Diagnostic accuracy of rapid point-of-care tests for diagnosis of current SARS-CoV-2 infections in children: a systematic review and meta-analysis
This article has 4 authors:Reviewed by ScreenIT
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High vaccine effectiveness against coronavirus disease 2019 (COVID-19) and severe disease among residents and staff of long-term care facilities in Norway, November 2020–June 2021
This article has 6 authors:Reviewed by ScreenIT
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Robust and Functional Immune Memory Up to 9 Months After SARS-CoV-2 Infection: A Southeast Asian Longitudinal Cohort
This article has 17 authors:Reviewed by ScreenIT
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SARS-CoV-2 Spike S1 glycoprotein is a TLR4 agonist, upregulates ACE2 expression and induces pro-inflammatory M 1 macrophage polarisation
This article has 3 authors:Reviewed by ScreenIT
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How Did People Cope During the COVID-19 Pandemic? A Structural Topic Modelling Analysis of Free-Text Data From 11,000 United Kingdom Adults
This article has 4 authors:Reviewed by ScreenIT
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The impact of seasonal factors on the COVID-19 pandemic waves
This article has 3 authors:Reviewed by ScreenIT
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Safety and immunogenicity of inactivated SARS-CoV-2 vaccine in high-risk occupational population: a randomized, parallel, controlled clinical trial
This article has 14 authors:Reviewed by ScreenIT
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Geospatial Variability in Excess Death Rates during the COVID-19 Pandemic in Mexico: Examining Socio Demographic, Climate and Population Health Characteristics
This article has 4 authors:Reviewed by ScreenIT
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Potential Autoimmunity Resulting from Molecular Mimicry between SARS-CoV-2 Spike and Human Proteins
This article has 11 authors:Reviewed by ScreenIT
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Cross-sectional genomic perspective of epidemic waves of SARS-CoV-2: A pan India study
This article has 2 authors:Reviewed by ScreenIT