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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Prediction of the Epidemic Peak of Covid19 in Egypt, 2020
This article has 1 author:Reviewed by ScreenIT
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EARLY VIRAL CLEARANCE AMONG COVID-19 PATIENTS WHEN GARGLING WITH POVIDONE-IODINE AND ESSENTIAL OILS – A CLINICAL TRIAL
This article has 16 authors:Reviewed by ScreenIT
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ICU admissions and in-hospital deaths linked to COVID-19 in the Paris region are correlated with previously observed ambient temperature
This article has 3 authors:Reviewed by ScreenIT
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COVID-19 Demographics, Acute Care Resource Use and Mortality by Age and Sex in Ontario, Canada: Population-based Retrospective Cohort Analysis
This article has 7 authors:Reviewed by ScreenIT
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Mortality from COVID-19 in 12 countries and 6 states of the United States
This article has 15 authors:Reviewed by ScreenIT
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Corona-Independent Excess Mortality Due to Reduced Use of Emergency Medical Care in the Corona Pandemic: A Population-Based Observational Study
This article has 5 authors:Reviewed by ScreenIT
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covid19.Explorer : a web application and R package to explore United States COVID-19 data
This article has 1 author:Reviewed by ScreenIT
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High admission blood glucose independently predicts poor prognosis in COVID-19 patients: A systematic review and dose-response meta-analysis
This article has 5 authors:Reviewed by ScreenIT
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A novel deterministic forecast model for COVID-19 epidemic based on a single ordinary integro-differential equation
This article has 3 authors:Reviewed by ScreenIT
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Low Psychological Well-being in Men Who Have Sex with Men (MSM) During the Shelter-in-Place Orders to Prevent the COVID-19 Spread: Results from a Nationwide Study
This article has 7 authors:Reviewed by ScreenIT