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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Infoveillance to Analyze Covid19 Impact on Central America Population
This article has 2 authors:Reviewed by ScreenIT
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Adaptive immunity to SARS-CoV-2 in cancer patients: The CAPTURE study
This article has 69 authors:Reviewed by ScreenIT
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The early impact of COVID-19 on primary care psychological therapy services: A descriptive time series of electronic healthcare records
This article has 9 authors:Reviewed by ScreenIT
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Delivery of CPAP respiratory support for COVID-19 using repurposed technologies
This article has 14 authors:Reviewed by ScreenIT
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Zinc for the prevention or treatment of acute viral respiratory tract infections in adults: a rapid systematic review and meta-analysis of randomised controlled trials
This article has 8 authors:Reviewed by ScreenIT
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Adaptive short term COVID-19 prediction for India
This article has 2 authors:Reviewed by ScreenIT
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In vitro screening of anti-viral and virucidal effects against SARS-CoV-2 by Hypericum perforatum and Echinacea
This article has 8 authors:Reviewed by ScreenIT
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COVID-19 Myocarditis and Severity Factors: An Adult Cohort Study
This article has 18 authors:Reviewed by ScreenIT
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Multidisciplinary approach to COVID-19 risk communication: a framework and tool for individual and regional risk assessment
This article has 10 authors:Reviewed by ScreenIT
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Detection of transmission change points during unlock-3 and unlock-4 measures controlling COVID-19 in India
This article has 2 authors:Reviewed by ScreenIT