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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A modified SEIR meta-population transmission based Modeling and Forecasting of the COVID-19 pandemic in Pakistan
This article has 4 authors:Reviewed by ScreenIT
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Class I HLA Allele Predicted Restricted Antigenic Coverages for Spike and Nucleocapsid Proteins Are Associated With Deaths Related to COVID-19
This article has 6 authors:Reviewed by ScreenIT
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A main event and multiple introductions of SARS‐CoV‐2 initiated the COVID‐19 epidemic in Greece
This article has 13 authors:Reviewed by ScreenIT
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The attitudes, perceptions and experiences of medical school applicants following the closure of schools and cancellation of public examinations in 2020 due to the COVID-19 pandemic: a cross-sectional questionnaire study of UK medical applicants
This article has 3 authors:Reviewed by ScreenIT
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Adverse effects of COVID-19-related lockdown on pain, physical activity and psychological well-being in people with chronic pain
This article has 7 authors:Reviewed by ScreenIT
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Systems-Level Immunomonitoring from Acute to Recovery Phase of Severe COVID-19
This article has 20 authors:Reviewed by ScreenIT
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Development and implementation of a customised rapid syndromic diagnostic test for severe pneumonia
This article has 28 authors:Reviewed by ScreenIT
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Modelling daily infections with Covid-19 in Germany, France, and Sweden with a trend line based on day-to-day reproduction rates
This article has 1 author:Reviewed by ScreenIT
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Modeling COVID-19 Dynamics in Illinois under Nonpharmaceutical Interventions
This article has 6 authors:Reviewed by ScreenIT
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ACUTE VISION LOSS IN A PATIENT WITH COVID-19
This article has 4 authors:Reviewed by ScreenIT