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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Children with COVID-19 like symptoms in Italian Pediatric Surgeries: the dark side of the coin
This article has 11 authors:Reviewed by ScreenIT
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Lumipulse G SARS-CoV-2 Ag assay evaluation using clinical samples from different testing groups
This article has 13 authors:Reviewed by ScreenIT
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Universality in COVID-19 spread in view of the Gompertz function
This article has 3 authors:Reviewed by ScreenIT
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Multiscale statistical physics of the pan-viral interactome unravels the systemic nature of SARS-CoV-2 infections
This article has 5 authors:Reviewed by ScreenIT
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An Application of Logistic Formula to Deaths by COVID-19 in Japan
This article has 1 author:Reviewed by ScreenIT
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Brazilian Modeling of COVID-19(BRAM-COD): a Bayesian Monte Carlo approach for COVID-19 spread in a limited data set context
This article has 6 authors:Reviewed by ScreenIT
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Correlation between continuous Positive end-expiratory pressure (PEEP) values and occurrence of Pneumothorax and Pneumomediastinum in SARS-CoV2 patients during non-invasive ventilation with Helmet
This article has 14 authors:Reviewed by ScreenIT
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Disparities in COVID-19 hospitalizations and mortality among black and Hispanic patients: cross-sectional analysis from the greater Houston metropolitan area
This article has 10 authors:Reviewed by ScreenIT
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Brazilian dental students and COVID‐19: A survey on knowledge and perceptions
This article has 4 authors:Reviewed by ScreenIT
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COVID-19: how the pandemic impacted the emergency department and urgent surgical activity in a medium-size Italian hospital
This article has 6 authors:Reviewed by ScreenIT