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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Cohen’s kappa statistics as a convenient means to identify accurate SARS-CoV-2 rapid antibody tests
This article has 1 author:Reviewed by ScreenIT
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Perceived preparedness to respond to the COVID-19 pandemic: A study with healthcare workers in Ghana
This article has 8 authors:Reviewed by ScreenIT
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Psychosocial impact of the COVID-19 pandemic on 4378 UK healthcare workers and ancillary staff: initial baseline data from a cohort study collected during the first wave of the pandemic
This article has 30 authors:Reviewed by ScreenIT
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Trends in COVID-19 cases and clinical management in Veterans Health Administration medical facilities: A national cohort study
This article has 6 authors:Reviewed by ScreenIT
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Analyses and Forecast for COVID-19 epidemic in India
This article has 3 authors:Reviewed by ScreenIT
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Modes of transmission of COVID-19 outbreak- a mathematical study
This article has 1 author:Reviewed by ScreenIT
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The COVID University Challenge: A Hazard Analysis of Critical Control Points Assessment of the Return of Students to Higher Education Establishments
This article has 10 authors:Reviewed by ScreenIT
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Dynamics of antibodies to SARS-CoV-2 in convalescent plasma donors
This article has 21 authors:Reviewed by ScreenIT
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Greek population’s perceptions of nonpharmacological interventions towards the first wave of COVID-19 pandemic mitigation: A regressionbased association analysis
This article has 8 authors:Reviewed by ScreenIT
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Comparison of SARS-COV-2 nasal antigen test to nasopharyngeal RT-PCR in mildly symptomatic patients
This article has 6 authors:Reviewed by ScreenIT