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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Epidemic characteristics of respiratory viruses in hospitals in a Chinese city during the SARS-CoV-2 epidemic
This article has 6 authors:Reviewed by ScreenIT
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Thermodynamic evaluation of the impact of DNA mismatches in PCR-type SARS-CoV-2 primers and probes
This article has 2 authors:Reviewed by ScreenIT
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Prediction of Covid-19 Infections Through December 2020 for 10 US States Incorporating Outdoor Temperature and School Re-Opening Effects-August Update
This article has 1 author:Reviewed by ScreenIT
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On the reliability of predictions on Covid-19 dynamics: A systematic and critical review of modelling techniques
This article has 4 authors:Reviewed by ScreenIT
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Social Media Insights Into US Mental Health Amid the COVID-19 Pandemic. A Longitudinal Twitter Analysis (JANUARY-APRIL 2020)
This article has 5 authors:Reviewed by ScreenIT
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Machine learning and AI aided tool to differentiate COVID 19 and non-COVID 19 lung CXR
This article has 1 author:Reviewed by ScreenIT
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Blood transcriptional biomarkers of acute viral infection for detection of pre-symptomatic SARS-CoV-2 infection: a nested, case-control diagnostic accuracy study
This article has 132 authors:Reviewed by ScreenIT
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A city-level analysis of PM2.5 pollution, climate and COVID-19 early spread in Spain
This article has 3 authors:Reviewed by ScreenIT
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Optimal symptom combinations to aid COVID-19 case identification: Analysis from a community-based, prospective, observational cohort
This article has 23 authors:Reviewed by ScreenIT
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Optimal COVID-19 epidemic control until vaccine deployment
This article has 5 authors:Reviewed by ScreenIT