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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Population heterogeneity is a critical factor of the kinetics of the COVID-19 epidemics
This article has 1 author:Reviewed by ScreenIT
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Engagement With COVID-19 Public Health Measures in the United States: A Cross-sectional Social Media Analysis from June to November 2020
This article has 15 authors:Reviewed by ScreenIT
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Tocilizumab in Hospitalized Patients with Severe Covid-19 Pneumonia
This article has 23 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Analytical Sensitivity and Specificity of Two RT-qPCR Protocols for SARS-CoV-2 Detection Performed in an Automated Workflow
This article has 5 authors:Reviewed by ScreenIT
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Cold-Adapted Live Attenuated SARS-Cov-2 Vaccine Completely Protects Human ACE2 Transgenic Mice from SARS-Cov-2 Infection
This article has 2 authors:Reviewed by ScreenIT
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DNA methylation and gene expression pattern of ACE2 and TMPRSS2 genes in saliva samples of patients with SARS-CoV-2 infection
This article has 11 authors:Reviewed by ScreenIT
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Real-world effectiveness of hydroxychloroquine, azithromycin, and ivermectin among hospitalized COVID-19 patients: results of a target trial emulation using observational data from a nationwide healthcare system in Peru
This article has 4 authors:Reviewed by ScreenIT
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Disease progression of 213 patients hospitalized with Covid-19 in the Czech Republic in March–October 2020: An exploratory analysis
This article has 27 authors:Reviewed by ScreenIT
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Loneliness among older adults in the community during COVID-19: a cross-sectional survey in Canada
This article has 11 authors:Reviewed by ScreenIT
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Sterically confined rearrangements of SARS-CoV-2 Spike protein control cell invasion
This article has 3 authors:Reviewed by ScreenIT