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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Semantic and Geographical Analysis of COVID-19 Trials Reveals a Fragmented Clinical Research Landscape Likely to Impair Informativeness
This article has 8 authors:Reviewed by ScreenIT
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Hydroxychloroquine in COVID-19: An updated systematic review with meta-analysis
This article has 3 authors:Reviewed by ScreenIT
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COVID-19: disease pathways and gene expression changes predict methylprednisolone can improve outcome in severe cases
This article has 11 authors:Reviewed by ScreenIT
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SARS-CoV-2 seroprevalence and asymptomatic viral carriage in healthcare workers: a cross-sectional study
This article has 34 authors:Reviewed by ScreenIT
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COVID-19 Pandemic: Is Chronic Inflammation a Major Cause of Death?
This article has 3 authors:Reviewed by ScreenIT
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Association of Angiotensin‐Converting Enzyme Inhibitors and Angiotensin Receptor Blockers With the Risk of Hospitalization and Death in Hypertensive Patients With COVID‐19
This article has 12 authors:Reviewed by ScreenIT
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Is It Just About Physical Health? An Online Cross-Sectional Study Exploring the Psychological Distress Among University Students in Jordan in the Midst of COVID-19 Pandemic
This article has 3 authors:Reviewed by ScreenIT
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Is sleep apnea a risk factor for Covid-19? findings from a retrospective cohort study
This article has 7 authors:Reviewed by ScreenIT