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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COVID-19 outbreak in Italy: estimation of reproduction numbers over 2 months prior to phase 2
This article has 3 authors:Reviewed by ScreenIT
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Associations of race/ethnicity and socioeconomic factors with vaccination among US adults during the COVID-19 pandemic, January to March 2021
This article has 1 author:Reviewed by ScreenIT
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CovMT: an interactive SARS-CoV-2 mutation tracker, with a focus on critical variants
This article has 7 authors:Reviewed by ScreenIT
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Peginterferon lambda for the treatment of outpatients with COVID-19: a phase 2, placebo-controlled randomised trial
This article has 35 authors:Reviewed by ScreenIT
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The experience of European hospital-based health care workers on following infection prevention and control procedures and their wellbeing during the first wave of the COVID-19 pandemic
This article has 8 authors:Reviewed by ScreenIT
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Transmission dynamics and forecasts of the COVID-19 pandemic in Mexico, March-December 2020
This article has 16 authors:Reviewed by ScreenIT
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Forecasting Covid-19 Infections and Deaths Horizon in Egypt
This article has 2 authors:Reviewed by ScreenIT
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Rapid SARS-CoV-2 Spike Protein Detection by Carbon Nanotube-Based Near-Infrared Nanosensors
This article has 11 authors:Reviewed by ScreenIT
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Trajectories of hypoxemia and pulmonary mechanics of COVID-19 ARDS in the NorthCARDS dataset
This article has 11 authors:Reviewed by ScreenIT
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Risks and Benefits of Antibiotics vs. COVID-19 Morbidity and Mortality
This article has 2 authors:Reviewed by ScreenIT