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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Covid-19 disease dynamics with vaccination: The effect of uncertainty
This article has 2 authors:Reviewed by ScreenIT
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The impact of post-hospital remote monitoring of COVID-19 patients using pulse oximetry: A national observational study using hospital activity data
This article has 11 authors:Reviewed by ScreenIT
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Molecular basis of SARS-CoV-2 Omicron variant receptor engagement and antibody evasion and neutralization
This article has 10 authors:Reviewed by ScreenIT
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The incidence and mortality of COVID-19 related TB disease in Sub-Saharan Africa: A systematic review and meta-analysis
This article has 4 authors:Reviewed by ScreenIT
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UV-C light completely blocks highly contagious Delta SARS-CoV-2 aerosol transmission in hamsters
This article has 8 authors:Reviewed by ScreenIT
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Cohort-specific serological recognition of SARS-CoV-2 variant RBD antigens
This article has 12 authors:Reviewed by ScreenIT
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Longitudinal symptom and clinical outcome analysis of hospitalized COVID-19 patients
This article has 1 author:Reviewed by ScreenIT
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A novel structure-based approach for identification of vertebrate susceptibility to SARS-CoV-2: Implications for future surveillance programmes
This article has 6 authors:Reviewed by ScreenIT
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Cardiopulmonary imaging utilization and findings among hospitalized COVID-19 patients in Latin America (From RIMAC: Registry IMAging Cardiopulmonary among hospitalized COVID-19 patients in LATAM)
This article has 51 authors:Reviewed by ScreenIT
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A single-cell atlas reveals shared and distinct immune responses and metabolism during SARS-CoV-2 and HIV-1 infections
This article has 7 authors:Reviewed by ScreenIT