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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A Possible Way to Relate the Effects of SARS-CoV-2-Induced Changes in Transferrin to Severe COVID-19-Associated Diseases
This article has 8 authors:Reviewed by ScreenIT
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Modeling COVID-19 disease processes by remote elicitation of causal Bayesian networks from medical experts
This article has 11 authors:Reviewed by ScreenIT
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Resistance of SARS-CoV-2 Omicron BA.1 and BA.2 Variants to Vaccine-Elicited Sera and Therapeutic Monoclonal Antibodies
This article has 4 authors:Reviewed by ScreenIT
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Reliability of citations of medRxiv preprints in articles published on COVID-19 in the world leading medical journals
This article has 4 authors:Reviewed by ScreenIT
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The SARS-CoV2 envelope differs from host cells, exposes procoagulant lipids, and is disrupted in vivo by oral rinses
This article has 26 authors:Reviewed by ScreenIT
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Experimental infection of mink with SARS-COV-2 Omicron (BA.1) variant leads to symptomatic disease with lung pathology and transmission
This article has 18 authors:Reviewed by ScreenIT
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Natural trajectory of recovery of COVID-19 associated olfactory loss
This article has 9 authors:Reviewed by ScreenIT
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Relative Virulence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Among Vaccinated and Unvaccinated Individuals Hospitalized With SARS-CoV-2
This article has 5 authors:Reviewed by ScreenIT
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Effectiveness and Durability of mRNA Vaccine-Induced SARS-CoV-2-Specific Humoral and Cellular Immunity in Severe Asthma Patients on Biological Therapy
This article has 9 authors:Reviewed by ScreenIT
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A novel SEIR-e model for disease transmission and pathogen exposure
This article has 3 authors:Reviewed by ScreenIT