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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The key features of SARS-CoV-2 leader and NSP1 required for viral escape of NSP1-mediated repression
This article has 9 authors:Reviewed by ScreenIT
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Ultrafast, one-step, and microwave heating-based synthesis of DNA/RNA-AuNP conjugates
This article has 7 authors:Reviewed by ScreenIT
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Pharmacological perturbation of intracellular dynamics as a SARS-CoV-2 antiviral strategy
This article has 9 authors:Reviewed by ScreenIT
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Successful application of wastewater-based epidemiology in prediction and monitoring of the second wave of COVID-19 with fragmented sewerage systems–a case study of Jaipur (India)
This article has 15 authors:Reviewed by ScreenIT
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The tiered restrictions enforced in November 2020 did not impact the epidemiology of the second wave of COVID-19 in Italy
This article has 1 author:Reviewed by ScreenIT
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The 1st year of the COVID-19 epidemic in Estonia: an interrupted time series of population based nationwide cross-sectional studies
This article has 17 authors:Reviewed by ScreenIT
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Association between covid-19 vaccination, SARS-CoV-2 infection, and risk of immune mediated neurological events: population based cohort and self-controlled case series analysis
This article has 11 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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State-wide genomic epidemiology investigations of COVID-19 in healthcare workers in 2020 Victoria, Australia: Qualitative thematic analysis to provide insights for future pandemic preparedness
This article has 25 authors:Reviewed by ScreenIT
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Distinguishing Incubation and Acute Disease Stages of Mild-to-Moderate COVID-19
This article has 7 authors:Reviewed by ScreenIT
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Second Wave of the COVID-19 Pandemic in Delhi, India: High Seroprevalence Not a Deterrent?
This article has 12 authors:Reviewed by ScreenIT