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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Determinants of adherence to COVID-19 preventive behaviours in Canada: Results from the iCARE Study
This article has 9 authors:Reviewed by ScreenIT
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Early prediction of in-hospital death of COVID-19 patients: a machine-learning model based on age, blood analyses, and chest x-ray score
This article has 7 authors:Reviewed by ScreenIT
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Rising through the pandemic: a scoping review of quality improvement in public health during the COVID-19 pandemic
This article has 8 authors:Reviewed by ScreenIT
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The association of obesity-related traits on COVID-19 severity and hospitalization is affected by socio-economic status: a multivariable Mendelian randomization study
This article has 7 authors:Reviewed by ScreenIT
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Early evidence for the safety of certain COVID-19 vaccines using empirical Bayesian modeling from VAERS
This article has 1 author:Reviewed by ScreenIT
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The Impact of COVID-19 Vaccination on the Italian Healthcare System: A Scenario Analysis
This article has 5 authors:Reviewed by ScreenIT
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Personal space increases during the COVID-19 pandemic in response to real and virtual humans
This article has 5 authors:Reviewed by ScreenIT
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Control of SARS-CoV-2 infection after Spike DNA or Spike DNA+Protein co-immunization in rhesus macaques
This article has 19 authors:Reviewed by ScreenIT
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SARS-CoV-2 in wastewater from Mexico City used for irrigation in the Mezquital Valley: quantification and modeling of geographic dispersion
This article has 8 authors:Reviewed by ScreenIT
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Antibody responses after SARS-CoV-2 vaccination in patients with lymphoma
This article has 11 authors:Reviewed by ScreenIT