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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Model-based evaluation of school- and non-school-related measures to control the COVID-19 pandemic
This article has 7 authors:Reviewed by ScreenIT
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Intracounty modeling of COVID-19 infection with human mobility: Assessing spatial heterogeneity with business traffic, age, and race
This article has 9 authors:Reviewed by ScreenIT
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A Recurrent Mutation at Position 26340 of SARS-CoV-2 Is Associated with Failure of the E Gene Quantitative Reverse Transcription-PCR Utilized in a Commercial Dual-Target Diagnostic Assay
This article has 11 authors:Reviewed by ScreenIT
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Practical challenges to the clinical implementation of saliva for SARS-CoV-2 detection
This article has 9 authors:Reviewed by ScreenIT
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Sleep apnoea is a risk factor for severe COVID-19
This article has 11 authors:Reviewed by ScreenIT
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Clinical characteristics and outcomes of patients with COVID-19 and ARDS admitted to a third level health institution in Mexico City
This article has 8 authors:Reviewed by ScreenIT
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Clinicolaboratory Profile, Treatment, Intensive Care Needs, and Outcome of Pediatric Inflammatory Multisystem Syndrome Temporally Associated with SARS-CoV-2: A Systematic Review and Meta-analysis
This article has 8 authors:Reviewed by ScreenIT
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High Efficacy of Saliva in Detecting SARS-CoV-2 by RT-PCR in Adults and Children
This article has 15 authors:Reviewed by ScreenIT
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Altered Blood Cell Traits Underlie a Major Genetic Locus of Severe COVID-19
This article has 4 authors:Reviewed by ScreenIT
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Body mass index and risk of COVID-19 diagnosis, hospitalisation, and death: a population-based multi-state cohort analysis including 2,524,926 people in Catalonia, Spain
This article has 9 authors:Reviewed by ScreenIT