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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In-Ear SpO2: A Tool for Wearable, Unobtrusive Monitoring of Core Blood Oxygen Saturation
This article has 4 authors:Reviewed by ScreenIT
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Changing patterns of mortality during the COVID-19 pandemic: Population-based modelling to understand palliative care implications
This article has 5 authors:Reviewed by ScreenIT
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Adverse outcomes and mortality in users of non-steroidal anti-inflammatory drugs who tested positive for SARS-CoV-2: A Danish nationwide cohort study
This article has 11 authors:Reviewed by ScreenIT
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Mortality Analysis of COVID-19 Confirmed Cases in Pakistan
This article has 15 authors:Reviewed by ScreenIT
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Hospital practice in COVID-19 times: perceptions of the midwifery interns in Peru
This article has 7 authors:Reviewed by ScreenIT
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Predictive usefulness of RT-PCR testing in different patterns of Covid-19 symptomatology: analysis of a French cohort of 12,810 outpatients
This article has 63 authors:Reviewed by ScreenIT
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D936Y and Other Mutations in the Fusion Core of the SARS-CoV-2 Spike Protein Heptad Repeat 1: Frequency, Geographical Distribution, and Structural Effect
This article has 5 authors:Reviewed by ScreenIT
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Rapid whole genome sequence typing reveals multiple waves of SARS-CoV-2 spread
This article has 2 authors:Reviewed by ScreenIT
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An Inexpensive RT-PCR Endpoint Diagnostic Assay for SARS-CoV-2 Using Nested PCR: Direct Assessment of Detection Efficiency of RT-qPCR Tests and Suitability for Surveillance
This article has 12 authors:Reviewed by ScreenIT
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Validation of a Self-administrable, Saliva-based RT-qPCR Test Detecting SARS-CoV-2
This article has 10 authors:Reviewed by ScreenIT