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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Why COVID-19 models should incorporate the network of social interactions
This article has 2 authors:Reviewed by ScreenIT
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Identifying the effects of an upgraded ‘fever clinic’ on COVID-19 control and the workload of emergency department: retrospective study in a tertiary hospital in China
This article has 15 authors:Reviewed by ScreenIT
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CovProfile: profiling the viral genome and gene expressions of SARS-COV-2
This article has 8 authors:Reviewed by ScreenIT
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The potential genetic network of human brain SARS-CoV-2 infection
This article has 4 authors:Reviewed by ScreenIT
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Reduction of lymphocyte count at early stage elevates severity and death risk of COVID-19 patients: a hospital-based case-cohort study
This article has 9 authors:Reviewed by ScreenIT
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Effects of non-pharmaceutical interventions on COVID-19 cases, deaths, and demand for hospital services in the UK: a modelling study
This article has 36 authors:Reviewed by ScreenIT
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Seeding COVID-19 across Sub-Saharan Africa: An Analysis of Reported Importation Events across 49 Countries
This article has 11 authors:Reviewed by ScreenIT
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Core warming of coronavirus disease 2019 (COVID-19) patients undergoing mechanical ventilation—A protocol for a randomized controlled pilot study
This article has 6 authors:Reviewed by ScreenIT
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Perceived stress in different countries at the beginning of the coronavirus pandemic
This article has 6 authors:Reviewed by ScreenIT
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Global epidemiology, pathogenesis, immune response, diagnosis, treatment, economic and psychological impact, challenges, and future prevention of COVID-19: A Scoping review
This article has 9 authors:Reviewed by ScreenIT