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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International heterogeneity in coronavirus disease 2019 pediatric mortality rates
This article has 7 authors:Reviewed by ScreenIT
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Immune-Modulating Drug MP1032 with SARS-CoV-2 Antiviral Activity In Vitro: A potential Multi-Target Approach for Prevention and Early Intervention Treatment of COVID-19
This article has 15 authors:Reviewed by ScreenIT
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Existence of SARS-CoV-2 RNA on ambient particulate matter samples: A nationwide study in Turkey
This article has 36 authors:Reviewed by ScreenIT
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Updating Herd Immunity Models for the U.S. in 2020: Implications for the COVID-19 Response
This article has 3 authors:Reviewed by ScreenIT
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Modelling testing frequencies required for early detection of a SARS-CoV-2 outbreak on a university campus
This article has 3 authors:Reviewed by ScreenIT
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Airborne transmission of virus-laden aerosols inside a music classroom: Effects of portable purifiers and aerosol injection rates
This article has 2 authors:Reviewed by ScreenIT
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The role of absolute humidity on transmission rates of the COVID-19 outbreak
This article has 7 authors:Reviewed by ScreenIT
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Risk of hospital admission with covid-19 among teachers compared with healthcare workers and other adults of working age in Scotland, March 2020 to July 2021: population based case-control study
This article has 14 authors:Reviewed by ScreenIT
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Visual scoring of chest CT at hospital admission predicts hospitalization time and intensive care admission in Covid-19
This article has 7 authors:Reviewed by ScreenIT
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Direct Exposure to SARS-CoV-2 and Cigarette Smoke Increases Infection Severity and Alters the Stem Cell-Derived Airway Repair Response
This article has 19 authors:Reviewed by ScreenIT