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 Knowledge, Risk Perception, and Precautionary Behavior Among Nigerians: A Moderated Mediation Approach
This article has 8 authors:Reviewed by ScreenIT
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Association of angiotensin converting enzyme inhibitors and angiotensin II receptor blockers with risk of COVID‐19, inflammation level, severity, and death in patients with COVID‐19: A rapid systematic review and meta‐analysis
This article has 7 authors:Reviewed by ScreenIT
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Do Face Masks Create a False Sense of Security? A COVID-19 Dilemma
This article has 4 authors:Reviewed by ScreenIT
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Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs Using Convolutional Siamese Neural Networks
This article has 13 authors:Reviewed by ScreenIT
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A Noncooperative Game Analysis for Controlling COVID-19 Outbreak
This article has 11 authors:Reviewed by ScreenIT
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Psychiatric Predictors of COVID-19 Outcomes in a Skilled Nursing Facility Cohort
This article has 1 author:Reviewed by ScreenIT
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Single-cell analysis reveals bronchoalveolar epithelial dysfunction in COVID-19 patients
This article has 26 authors:Reviewed by ScreenIT
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Lifestyle Acquired Immunity, Decentralized Intelligent Infrastructures, and Revised Healthcare Expenditures May Limit Pandemic Catastrophe: A Lesson From COVID-19
This article has 3 authors:Reviewed by ScreenIT
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Modeling the dynamics of COVID-19 using Q-SEIR model with age-stratified infection probability
This article has 4 authors:Reviewed by ScreenIT
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A phenomenological algorithm for short-range predictions of the Covid-19 pandemics 2020
This article has 2 authors:Reviewed by ScreenIT