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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Early experience with modified dose nirmatrelvir/ritonavir in dialysis patients with coronavirus disease-2019
This article has 7 authors:Reviewed by ScreenIT
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Estimating Vaccine-Preventable COVID-19 Deaths Under Counterfactual Vaccination Scenarios in the United States
This article has 11 authors:Reviewed by ScreenIT
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Evaluation of the ID NOW among symptomatic individuals during the Omicron wave
This article has 5 authors:Reviewed by ScreenIT
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Building Medical Rehabilitation System with Safety and Without Interruption for the Patients with Coronavirus Disease 2019 Using the Functional Resonance Analysis Method (FRAM)
This article has 9 authors:Reviewed by ScreenIT
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Serial infection with SARS-CoV-2 Omicron BA.1 and BA.2 following three-dose COVID-19 vaccination
This article has 27 authors:Reviewed by ScreenIT
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Annual prevalence of non-communicable diseases and identification of vulnerable populations following the Fukushima disaster and COVID-19 pandemic
This article has 2 authors:Reviewed by ScreenIT
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Prevalence and determinants of mental well-being and satisfaction with life among university students amidst COVID-19 pandemic
This article has 8 authors:Reviewed by ScreenIT
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Medication safety incidents associated with the remote delivery of primary care: a rapid review
This article has 15 authors:Reviewed by ScreenIT
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Cross-sectional analysis of the humoral response after SARS-CoV-2 vaccination in Sardinian multiple sclerosis patients, a follow-up study
This article has 29 authors:Reviewed by ScreenIT
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SARS-CoV-2 breakthrough infection in vaccinees induces virus-specific nasal-resident CD8+ and CD4+ T cells of broad specificity
This article has 6 authors:Reviewed by ScreenIT