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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An autoantigen-ome from HS-Sultan B-Lymphoblasts offers a molecular map for investigating autoimmune sequelae of COVID-19
This article has 5 authors:Reviewed by ScreenIT
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Muscle strength and muscle mass as predictors of hospital length of stay in patients with moderate to severe COVID‐19: a prospective observational study
This article has 12 authors:Reviewed by ScreenIT
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Rapid synchronous type 1 IFN and virus-specific T cell responses characterize first wave non-severe SARS-CoV-2 infections
This article has 28 authors:Reviewed by ScreenIT
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COVID-19 Therapeutics for Low- and Middle-Income Countries: A Review of Candidate Agents with Potential for Near-Term Use and Impact
This article has 9 authors:Reviewed by ScreenIT
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Multi‐species ELISA for the detection of antibodies against SARS‐CoV‐2 in animals
This article has 18 authors:Reviewed by ScreenIT
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Exclusion of bacterial co-infection in COVID-19 using baseline inflammatory markers and their response to antibiotics
This article has 11 authors:Reviewed by ScreenIT
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Systemic Tissue and Cellular Disruption from SARS-CoV-2 Infection revealed in COVID-19 Autopsies and Spatial Omics Tissue Maps
This article has 47 authors:Reviewed by ScreenIT
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Prevalence of SARS-CoV-2 antibodies among workers of the public higher education institutions of Porto, Portugal: a cross-sectional study
This article has 9 authors:Reviewed by ScreenIT
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Severe Acute Respiratory Syndrome Coronavirus 2 Seroassay Performance and Optimization in a Population With High Background Reactivity in Mali
This article has 17 authors:Reviewed by ScreenIT
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Two-Stage Hierarchical Group Testing Strategy to Increase SARS-CoV-2 Testing Capacity at an Institution of Higher Education
This article has 7 authors:Reviewed by ScreenIT