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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Oxygen and Mortality in COVID-19 Pneumonia: A Comparative Analysis of Supplemental Oxygen Policies and Health Outcomes Across 26 Countries
This article has 6 authors:Reviewed by ScreenIT
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How was the Mental Health of Colombian people on March during Pandemics Covid19?
This article has 1 author:Reviewed by ScreenIT
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Psychiatric symptoms, risk, and protective factors among university students in quarantine during the COVID-19 pandemic in China
This article has 5 authors:Reviewed by ScreenIT
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Prevalence of IgG and IgM antibodies to SARS-CoV-2 among clinic staff and patients
This article has 13 authors:Reviewed by ScreenIT
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Increasing Virus Test Capacity via Recursive Pool Testing with an Application to SARS-CoV-2 Testing
This article has 7 authors:Reviewed by ScreenIT
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Modeling the number of people infected with SARS-COV-2 from wastewater viral load in Northwest Spain
This article has 19 authors:Reviewed by ScreenIT
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Laboratory findings that predict a poor prognosis in COVID-19 patients with diabetes: A meta-analysis
This article has 2 authors:Reviewed by ScreenIT
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A Systematic Review of Smartphone Applications Available for Corona Virus Disease 2019 (COVID19) and the Assessment of their Quality Using the Mobile Application Rating Scale (MARS)
This article has 10 authors:Reviewed by ScreenIT
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Clinical Characteristics of Recurrent-positive Coronavirus Disease 2019 after Curative Discharge: a retrospective analysis of 15 cases in Wuhan China
This article has 16 authors:Reviewed by ScreenIT
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Metabolic indicators associated with non-communicable diseases deteriorated in COVID-19 outbreak: evidence from a two-center, retrospective study
This article has 9 authors:Reviewed by ScreenIT