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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Information sources of Brazilian undergraduate dental students during the COVID-19 outbreak
This article has 5 authors:Reviewed by ScreenIT
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Beyond the new normal: Assessing the feasibility of vaccine-based suppression of SARS-CoV-2
This article has 8 authors:Reviewed by ScreenIT
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Induction of labour during the COVID-19 pandemic: a national survey of impact on practice in the UK
This article has 6 authors:Reviewed by ScreenIT
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Telmisartan for treatment of Covid-19 patients: An open multicenter randomized clinical trial
This article has 17 authors:Reviewed by ScreenIT
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Application of Social Vulnerability Index to Identify High- risk Population of Contracting COVID-19 Infection: a state-level study
This article has 6 authors:Reviewed by ScreenIT
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Cryo-electron Microscopy Structure of S-Trimer, a Subunit Vaccine Candidate for COVID-19
This article has 10 authors:Reviewed by ScreenIT
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Emergence and rapid transmission of SARS-CoV-2 B.1.1.7 in the United States
This article has 54 authors:Reviewed by ScreenIT
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CovidRiskCalc: An online app to calculate the risk of COVID infection in a gathering
This article has 1 author:Reviewed by ScreenIT
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Knowledge, attitude and practices of COVID-19 among medical laboratory professionals in Zambia
This article has 13 authors:Reviewed by ScreenIT
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Changes in Health Behaviors, Mental and Physical Health among Older Adults under Severe Lockdown Restrictions during the COVID-19 Pandemic in Spain
This article has 23 authors:Reviewed by ScreenIT