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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Ultrafast RNA extraction-free SARS-CoV-2 detection by direct RT-PCR using a rapid thermal cycling approach
This article has 9 authors:Reviewed by ScreenIT
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Quantifying Changes in Vaccine Coverage in Mainstream Media as a Result of the COVID-19 Outbreak: Text Mining Study
This article has 7 authors:Reviewed by ScreenIT
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Neutralisation of the SARS-CoV-2 Delta variant sub-lineages AY.4.2 and B.1.617.2 with the mutation E484K by Comirnaty (BNT162b2 mRNA) vaccine-elicited sera, Denmark, 1 to 26 November 2021
This article has 7 authors:Reviewed by ScreenIT
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Plasma biomarkers associated with survival and thrombosis in hospitalized COVID-19 patients
This article has 8 authors:Reviewed by ScreenIT
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Using mobile phone data to estimate dynamic population changes and improve the understanding of a pandemic: A case study in Andorra
This article has 6 authors:Reviewed by ScreenIT
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Disparities in COVID-19 fatalities among working Californians
This article has 13 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Waning, Boosting and a Path to Endemicity for SARS-CoV-2
This article has 7 authors:Reviewed by ScreenIT
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Data-driven prognosis for COVID-19 patients based on symptoms and age
This article has 2 authors:Reviewed by ScreenIT
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Association Between Loneliness and Sleep-Related Problems Among Japanese Workers During the COVID-19 Pandemic
This article has 10 authors:Reviewed by ScreenIT
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Association of alcohol consumption and frequency with loneliness: A cross-sectional study among Japanese workers during the COVID-19 pandemic
This article has 10 authors:Reviewed by ScreenIT