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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Public adherence to governmental recommendations regarding quarantine and testing for COVID-19 in two Norwegian cohorts
This article has 5 authors:Reviewed by ScreenIT
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Anxiety and depressive symptoms among physicians during the COVID-19 pandemic in Bangladesh: a cross-sectional study
This article has 17 authors:Reviewed by ScreenIT
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Adaptive COVID-19 Forecasting via Bayesian Optimization
This article has 6 authors:Reviewed by ScreenIT
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The 2019‐new coronavirus epidemic: Evidence for virus evolution
This article has 6 authors:Reviewed by ScreenIT
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An all-solid-state heterojunction oxide transistor for the rapid detection of biomolecules and SARS-CoV-2 spike S1 protein
This article has 13 authors:Reviewed by ScreenIT
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COVID-19: Variant screening, an important step towards precision epidemiology
This article has 6 authors:Reviewed by ScreenIT
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Microbial contamination of powered air purifying respirators (PAPR) used by healthcare staff during the COVID-19 pandemic: an in situ microbiological study
This article has 5 authors:Reviewed by ScreenIT
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COVID-19 in hospitalized Ethiopian children: characteristics and outcome profile
This article has 8 authors:Reviewed by ScreenIT
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Diagnostic accuracy and utility of SARS-CoV-2 antigen lateral flow assays in medical admissions with possible COVID-19
This article has 5 authors:Reviewed by ScreenIT
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The post-acute phase of SARS-CoV-2 infection in two macaques species is associated with signs of ongoing virus replication and pathology in pulmonary and extrapulmonary tissues
This article has 28 authors:Reviewed by ScreenIT