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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The importance of the timing of quarantine measures before symptom onset to prevent COVID-19 outbreaks - illustrated by Hong Kong’s intervention model
This article has 7 authors:Reviewed by ScreenIT
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VP45.28: Effects of coronavirus disease 2019 (COVID‐19) on maternal, perinatal and neonatal outcomes: a systematic review
This article has 6 authors:Reviewed by ScreenIT
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Validation of a commercially available SARS-CoV-2 serological immunoassay
This article has 19 authors:Reviewed by ScreenIT
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A Network-Based Stochastic Epidemic Simulator: Controlling COVID-19 With Region-Specific Policies
This article has 8 authors:Reviewed by ScreenIT
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Seroprevalence of anti-SARS-CoV-2 IgG antibodies in Geneva, Switzerland (SEROCoV-POP): a population-based study
This article has 25 authors:Reviewed by ScreenIT
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Evaluation of nCoV-QS (MiCo BioMed) for RT-qPCR detection of SARS-CoV-2 from nasopharyngeal samples using CDC FDA EUA qPCR kit as a gold standard: An example of the need of validation studies
This article has 6 authors:Reviewed by ScreenIT
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Factors Influencing Mental Health During Covid-19 Outbreak: An Exploratory Survey among Indian Population
This article has 3 authors:Reviewed by ScreenIT
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The pathogenesis of thromboembolic disease in covid-19 patients: Could be a catastrophic antiphospholipid syndrome?
This article has 10 authors:Reviewed by ScreenIT
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Urine Proteome of COVID-19 Patients
This article has 14 authors:Reviewed by ScreenIT
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Phenotypical and functional alteration of unconventional T cells in severe COVID-19 patients
This article has 14 authors:Reviewed by ScreenIT