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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Severe COVID-19 is marked by dysregulated serum levels of carboxypeptidase A3 and serotonin
This article has 16 authors:Reviewed by ScreenIT
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Randomized controlled trial of convalescent plasma therapy against standard therapy in patients with severe COVID-19 disease
This article has 11 authors:Reviewed by ScreenIT
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Prophylaxis with tetracyclines in ARDS: Potential therapy for COVID-19-induced ARDS?
This article has 7 authors:Reviewed by ScreenIT
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Bacteriophages as surrogates for the study of viral dispersion in open air
This article has 6 authors:Reviewed by ScreenIT
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For a structured response to the psychosocial consequences of the restrictive measures imposed by the global COVID-19 health pandemic: the MAVIPAN longitudinal prospective cohort study protocol
This article has 23 authors:Reviewed by ScreenIT
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Association between FIASMA psychotropic medications and reduced risk of intubation or death in individuals with psychiatric disorders hospitalized for severe COVID-19: an observational multicenter study
This article has 16 authors:Reviewed by ScreenIT
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Racial disparities in COVID-19 mortality across Michigan, United States
This article has 10 authors:Reviewed by ScreenIT
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Neutrophil and monocyte dysfunctional effector response towards bacterial challenge in critically-ill COVID-19 patients
This article has 16 authors:Reviewed by ScreenIT
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MATHEMATICAL PREDICTIONS FOR COVID-19 AS A GLOBAL PANDEMIC
This article has 1 author:Reviewed by ScreenIT
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Disruption of the CCL5/RANTES-CCR5 Pathway Restores Immune Homeostasis and Reduces Plasma Viral Load in Critical COVID-19
This article has 24 authors:Reviewed by ScreenIT