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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Optimized Post-Vaccination Strategies and Preventative Measures for SARS-CoV-2
This article has 7 authors:Reviewed by ScreenIT
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An artificial intelligence system for predicting mortality in COVID-19 patients using chest X-rays: a retrospective study
This article has 10 authors:Reviewed by ScreenIT
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Deciphering the role of the Pancreatic Secretome in Covid-19 associated Multi-Organ Dysfunctions
This article has 2 authors:Reviewed by ScreenIT
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Determinants of adolescents’ Health-Related Quality of Life and psychological distress during the COVID-19 pandemic
This article has 12 authors:Reviewed by ScreenIT
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Pathways and obstacles to social recovery following the elimination of SARS-CoV-2 from Aotearoa New Zealand: a qualitative cross-sectional study
This article has 10 authors:Reviewed by ScreenIT
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Plasma S-Adenosylmethionine Is Associated with Lung Injury in COVID-19
This article has 9 authors:Reviewed by ScreenIT
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The Removal of Airborne Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and Other Microbial Bioaerosols by Air Filtration on Coronavirus Disease 2019 (COVID-19) Surge Units
This article has 21 authors:Reviewed by ScreenIT
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IL13Pred: A method for predicting immunoregulatory cytokine IL-13 inducing peptides
This article has 4 authors:Reviewed by ScreenIT
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Viral loads and profile of the patients infected with SARS‐CoV‐2 Delta, Alpha, or R.1 variants in Tokyo
This article has 15 authors:Reviewed by ScreenIT
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Equivalency of Protection From Natural Immunity in COVID-19 Recovered Versus Fully Vaccinated Persons: A Systematic Review and Pooled Analysis
This article has 3 authors:Reviewed by ScreenIT