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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Probing the mutational landscape of the SARS-CoV-2 spike protein via quantum mechanical modeling of crystallographic structures
This article has 8 authors:Reviewed by ScreenIT
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Unequal impact of the Covid-19 pandemic on excess deaths, life expectancy, and premature mortality across Spanish regions in 2020 and 2021
This article has 10 authors:Reviewed by ScreenIT
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Diagnostic performance of attenuated total reflection Fourier-transform infrared spectroscopy for detecting COVID-19 from routine nasopharyngeal swab samples
This article has 6 authors:Reviewed by ScreenIT
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COVID-19 trends and severity among symptomatic children aged 0–17 years in 10 European Union countries, 3 August 2020 to 3 October 2021
This article has 7 authors:Reviewed by ScreenIT
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Management and containment of a SARS-CoV-2 Beta variant outbreak at the Malawi University of Science and Technology
This article has 25 authors:Reviewed by ScreenIT
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Community healthcare workers' experiences during and after COVID‐19 lockdown: A qualitative study from Aotearoa New Zealand
This article has 12 authors:Reviewed by ScreenIT
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Dosing interval strategies for two-dose COVID-19 vaccination in 13 middle-income countries of Europe: Health impact modelling and benefit-risk analysis
This article has 8 authors:Reviewed by ScreenIT
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Proof of concept continuous event logging in living cells
This article has 2 authors:Reviewed by ScreenIT
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Emergence and Spread of the SARS-CoV-2 Variant of Concern Delta across Different Brazilian Regions
This article has 105 authors:Reviewed by ScreenIT
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Impact of the COVID-19 pandemic on malaria cases in health facilities in northern Ghana: a retrospective analysis of routine surveillance data
This article has 8 authors:Reviewed by ScreenIT