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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Waning effectiveness of the third dose of the BNT162b2 mRNA COVID-19 vaccine
This article has 7 authors:Reviewed by ScreenIT
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Booster protection against Omicron infection in a highly vaccinated cohort
This article has 11 authors:Reviewed by ScreenIT
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Genomics of postvaccination SARS‐CoV‐2 infections during the Delta dominated second wave of COVID‐19 pandemic, from Mumbai Metropolitan Region (MMR), India
This article has 16 authors:Reviewed by ScreenIT
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SARS-CoV-2 exposures of healthcare workers from primary care, long-term care facilities and hospitals: a nationwide matched case-control study
This article has 9 authors:Reviewed by ScreenIT
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The comparison of Post-Operative Complications pre Covid era versus during Covid-Era based on Clavien-Dindo-classification: A Systematic Review and Meta-Analysis
This article has 6 authors:Reviewed by ScreenIT
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Multicenter international assessment of a SARS-CoV-2 RT-LAMP test for point of care clinical application
This article has 24 authors:Reviewed by ScreenIT
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Short-term improvement of mental health after a COVID-19 vaccination
This article has 8 authors:Reviewed by ScreenIT
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Medium-term impacts of the waves of the COVID-19 epidemic on treatments for non-COVID-19 patients in intensive care units: A retrospective cohort study in Japan
This article has 7 authors:Reviewed by ScreenIT
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Oropharyngeal microbiome profiled at admission is predictive of the need for respiratory support among COVID-19 patients
This article has 13 authors:Reviewed by ScreenIT
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Genetic Examination of Hematological Parameters in SARS-CoV-2 Infection and COVID-19
This article has 14 authors:Reviewed by ScreenIT