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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Efficacy and Safety of Lopinavir/Ritonavir for Treatment of COVID-19: A Systematic Review and Meta-Analysis
This article has 6 authors:Reviewed by ScreenIT
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Assessing the Effect of Global Travel and Contact Restrictions on Mitigating the COVID-19 Pandemic
This article has 10 authors:Reviewed by ScreenIT
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Analysis of Genetic Host Response Risk Factors in Severe COVID-19 Patients
This article has 10 authors:Reviewed by ScreenIT
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Comparative efficacy and safety of pharmacological interventions for the treatment of COVID-19: A systematic review and network meta-analysis
This article has 4 authors:Reviewed by ScreenIT
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Routine Laboratory Blood Tests Predict SARS-CoV-2 Infection Using Machine Learning
This article has 12 authors:Reviewed by ScreenIT
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Analyzing changes in respiratory rate to predict the risk of COVID-19 infection
This article has 7 authors:Reviewed by ScreenIT
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Erhöhtes Risiko eines COVID-19-bedingten Krankenhausaufenthaltes für Arbeitslose: Eine Analyse von Krankenkassendaten von 1,28 Mio. Versicherten in Deutschland
This article has 5 authors:Reviewed by ScreenIT
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Assessing the impact of coordinated COVID-19 exit strategies across Europe
This article has 15 authors:Reviewed by ScreenIT
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Impairments in odour detection and hedonic ratings of unpleasant smells in asymptomatic university students as SARS‐Cov‐2 emerged locally
This article has 7 authors:Reviewed by ScreenIT
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Investigation of Compatibility of Severe Acute Respiratory Syndrome Coronavirus 2 Reverse transcriptase-PCR Kits Containing Different Gene Targets During Coronavirus Disease 2019 Pandemic
This article has 4 authors:Reviewed by ScreenIT