ScreenIT
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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Characteristics and outcomes of hospitalized adults with COVID-19 in Nepal: a multicenter, prospective cohort study
This article has 16 authors:Reviewed by ScreenIT
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Incidence and Outcomes of Pulmonary Embolism among Hospitalized COVID-19 Patients
This article has 7 authors:Reviewed by ScreenIT
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Increasing test specificity without impairing sensitivity: lessons learned from SARS-CoV-2 serology
This article has 30 authors:Reviewed by ScreenIT
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Influence of sex on disease severity in children with COVID-19 and Multisystem Inflammatory Syndrome in Latin America
This article has 14 authors:Reviewed by ScreenIT
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Pulmonary cavitation: an under-recognized late complication of severe COVID-19 lung disease
This article has 9 authors:Reviewed by ScreenIT
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The Association of COVID-19 Incidence With Sport and Face Mask Use in United States High School Athletes
This article has 6 authors:Reviewed by ScreenIT
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Reliability and limits of transport-ventilators to safely ventilate severe patients in special surge situations
This article has 9 authors:Reviewed by ScreenIT
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Socio-Demographic Predictors of Adherence to 2019 Coronavirus Prescribed Recommendations and Lockdown Psychological Impacts: Perspectives of Nigerian Social Media Users
This article has 4 authors:Reviewed by ScreenIT
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Testing-on-a-probe biosensors reveal association of early SARS-CoV-2 total antibodies and surrogate neutralizing antibodies with mortality in COVID-19 patients
This article has 25 authors:Reviewed by ScreenIT
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First-described recently discovered non-toxic vegetal-derived furocoumarin preclinical efficacy against SARS-CoV-2: a promising antiviral herbal drug
This article has 8 authors:Reviewed by ScreenIT