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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Biofunctionalized Two-dimensional MoS 2 Receptors for Rapid Response Modular Electronic SARS-CoV-2 and Influenza A Antigen Sensors
This article has 14 authors:Reviewed by ScreenIT
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The effects of border control and quarantine measures on the spread of COVID-19
This article has 7 authors:Reviewed by ScreenIT
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Are pregnant women satisfied with perinatal standards of care during COVID-19 pandemic?
This article has 5 authors:Reviewed by ScreenIT
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New Insights on Excess Deaths and COVID-19
This article has 2 authors:Reviewed by ScreenIT
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SARS-CoV-2 spillover into hospital outdoor environments
This article has 20 authors:Reviewed by ScreenIT
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International Observational Survey of the Effectiveness of Personal Protective Equipment during Endoscopic Procedures Performed in Patients with COVID-19
This article has 9 authors:Reviewed by ScreenIT
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Prognostic value of sTREM-1 in COVID-19 patients: a biomarker for disease severity and mortality
This article has 46 authors:Reviewed by ScreenIT
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Investigating the potential benefit that requiring travellers to self-isolate on arrival may have upon the reducing of case importations during international outbreaks of influenza, SARS, Ebola virus disease and COVID-19
This article has 3 authors:Reviewed by ScreenIT
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Single-strand RPA for rapid and sensitive detection of SARS-CoV-2 RNA
This article has 9 authors:Reviewed by ScreenIT
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Supervised Self-Collected SARS-Cov-2 Testing in Classroom-Based Summer Camps to Inform Safe In-Person Learning
This article has 16 authors:Reviewed by ScreenIT