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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Impaired glucose metabolism in patients with diabetes, prediabetes, and obesity is associated with severe COVID‐19
This article has 9 authors:Reviewed by ScreenIT
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Optimal Control Measures to Combat COVID 19 Spread in Sri Lanka: A Mathematical Model Considering the Heterogeneity of Cases
This article has 2 authors:Reviewed by ScreenIT
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Deep Learning and Holt-Trend Algorithms for Predicting Covid-19 Pandemic
This article has 6 authors:Reviewed by ScreenIT
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An agent based model for assessing transmission dynamics and health systems burden for COVID-19
This article has 7 authors:Reviewed by ScreenIT
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Review of published systematic reviews and meta-analyses on COVID-19
This article has 2 authors:Reviewed by ScreenIT
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Monitoring life expectancy levels during the COVID-19 pandemic: Example of the unequal impact of the first wave on Spanish regions
This article has 3 authors:Reviewed by ScreenIT
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Diet and physical activity during the coronavirus disease 2019 (COVID-19) lockdown (March–May 2020): results from the French NutriNet-Santé cohort study
This article has 20 authors:Reviewed by ScreenIT
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CT-derived measurements of pulmonary blood volume in small vessels and need for oxygen in COVID-19 patients
This article has 10 authors:Reviewed by ScreenIT
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SARS-CoV-2 Is Restricted by Zinc Finger Antiviral Protein despite Preadaptation to the Low-CpG Environment in Humans
This article has 12 authors:Reviewed by ScreenIT
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Human iPSC-derived alveolar and airway epithelial cells can be cultured at air-liquid interface and express SARS-CoV-2 host factors
This article has 15 authors:Reviewed by ScreenIT