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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Proteomic Analysis of Human Milk Reveals Nutritional and Immune Benefits in the Colostrum from Mothers with COVID-19
This article has 11 authors:Reviewed by ScreenIT
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Reassessment of persistent symptoms, self-reported COVID-19 infection and SARS-CoV-2 serology in the SAPRIS-SERO cohort: identifying possible sub-syndromes of Long Covid
This article has 1 author:Reviewed by ScreenIT
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Rapid genome surveillance of SARS-CoV-2 and study of risk factors using shipping container laboratories and portable DNA sequencing technology
This article has 8 authors:Reviewed by ScreenIT
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Protection of hamsters challenged with SARS-CoV-2 after two doses of MVC-COV1901 vaccine followed by a single intranasal booster with nanoemulsion adjuvanted S-2P vaccine
This article has 10 authors:Reviewed by ScreenIT
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Duration of Protection Against SARS-CoV-2 Reinfection and Associated Risk of Reinfection Assessed with Real-World Data
This article has 13 authors:Reviewed by ScreenIT
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Discovery of a Novel Coronavirus in Swedish Bank Voles (Myodes glareolus)
This article has 7 authors:Reviewed by ScreenIT
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Adenosine A2A Receptor (A 2A R) agonists improve survival in K28-hACE2 mice following SARS CoV-2 infection
This article has 7 authors:Reviewed by ScreenIT
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Late-Ensemble of Convolutional Neural Networks with Test Time Augmentation for Chest XR COVID-19 Detection
This article has 4 authors:Reviewed by ScreenIT
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Cross-Neutralizing Activity Against Omicron Could Be Obtained in SARS-CoV-2 Convalescent Patients Who Received Two Doses of mRNA Vaccination
This article has 16 authors:Reviewed by ScreenIT
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Clinical and virologic factors associated with outcomes of COVID‐19 before and after vaccination among Veterans: Retrospective analysis from six New England states
This article has 6 authors:Reviewed by ScreenIT