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 testing systems and their effectiveness in small, semi-isolated groups for sports events
This article has 6 authors:Reviewed by ScreenIT
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Serological responses to COVID-19 booster vaccine in England
This article has 13 authors:Reviewed by ScreenIT
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Germany’s low SARS-CoV-2 seroprevalence confirms effective containment in 2020: Results of the nationwide RKI-SOEP study
This article has 19 authors:Reviewed by ScreenIT
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Synthesis of High-Resolution Research-Quality MRI Data from Clinical MRI Data in Patients with COVID-19
This article has 11 authors:Reviewed by ScreenIT
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Reinfection with SARS-CoV-2: outcome, risk factors and vaccine efficacy in a Scottish cohort
This article has 6 authors:Reviewed by ScreenIT
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Race-Specific, State-Specific COVID-19 Vaccination Rates Adjusted for Age
This article has 3 authors:Reviewed by ScreenIT
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Synergetic measures to contain highly transmissible variants of SARS-CoV-2
This article has 5 authors:Reviewed by ScreenIT
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Krebs von den Lungen 6 (KL-6) levels in COVID-19 ICU patients are associated with mortality
This article has 11 authors:Reviewed by ScreenIT
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Uptake of Covid-19 Preventive Measures Among 10 Immigrant Ethnic Groups in Norway
This article has 4 authors:Reviewed by ScreenIT
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Surveying the experience of postdocs in the United States before and during the COVID-19 pandemic
This article has 6 authors: