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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Discovery of a 382-nt deletion during the early evolution of SARS-CoV-2
This article has 16 authors:Reviewed by ScreenIT
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First 12 patients with coronavirus disease 2019 (COVID-19) in the United States
This article has 179 authors:Reviewed by ScreenIT
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Effects of Chinese strategies for controlling the diffusion and deterioration of novel coronavirus–infected pneumonia in China
This article has 8 authors:Reviewed by ScreenIT
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Epidemiological and Clinical Characteristics of COVID-19 in Adolescents and Young Adults
This article has 19 authors:Reviewed by ScreenIT
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Inhibition of SARS-CoV-2 (previously 2019-nCoV) infection by a highly potent pan-coronavirus fusion inhibitor targeting its spike protein that harbors a high capacity to mediate membrane fusion
This article has 16 authors:Reviewed by ScreenIT
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An integrative drug repositioning framework discovered a potential therapeutic agent targeting COVID-19
This article has 33 authors:Reviewed by ScreenIT
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Revealing the influence of national public health policies for the outbreak of the SARS-CoV-2 epidemic in Wuhan, China through status dynamic modeling
This article has 2 authors:Reviewed by ScreenIT
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Prevalence and risk factors for acute posttraumatic stress disorder during the COVID-19 outbreak
This article has 12 authors:Reviewed by ScreenIT
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Analysis of early renal injury in COVID-19 and diagnostic value of multi-index combined detection
This article has 17 authors:Reviewed by ScreenIT
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Estimation of incubation period distribution of COVID-19 using disease onset forward time: A novel cross-sectional and forward follow-up study
This article has 6 authors:Reviewed by ScreenIT