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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The impact of demographic factors on the accumulated number of COVID-19 cases per capita in Europe and the regions of Ukraine in the summer of 2021
This article has 2 authors:Reviewed by ScreenIT
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Angiotensin II receptor I auto-antibodies following SARS-CoV-2 infection
This article has 28 authors:Reviewed by ScreenIT
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Increased histone-DNA complexes and endothelial-dependent thrombin generation in severe COVID-19
This article has 10 authors:Reviewed by ScreenIT
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Low-dose mRNA-1273 COVID-19 vaccine generates durable memory enhanced by cross-reactive T cells
This article has 9 authors:Reviewed by ScreenIT
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Men and loneliness in the Covid‐19 pandemic: Insights from an interview study with UK‐based men
This article has 3 authors:Reviewed by ScreenIT
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Monitoring SARS-CoV-2 in sewage: Toward sentinels with analytical accuracy
This article has 5 authors:Reviewed by ScreenIT
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Postvaccination SARS-COV-2 among Health Care Workers in New Jersey: A Genomic Epidemiological Study
This article has 23 authors:Reviewed by ScreenIT
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Mutation signatures inform the natural host of SARS-CoV-2
This article has 3 authors:Reviewed by ScreenIT
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A cGAMP-containing hydrogel for prolonged SARS-CoV-2 RBD subunit vaccine exposure induces a broad and potent humoral response
This article has 9 authors:Reviewed by ScreenIT
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Impacts of school closure due to COVID-19 on the mobility trend of Japanese citizens
This article has 9 authors:Reviewed by ScreenIT