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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Long COVID following Mild SARS-CoV-2 Infection: Characteristic T Cell Alterations and Response to Antihistamines
This article has 4 authors:Reviewed by ScreenIT
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Outcomes of SARS-CoV-2 Infection in Patients With Chronic Liver Disease and Cirrhosis: A National COVID Cohort Collaborative Study
This article has 6 authors:Reviewed by ScreenIT
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In depth analysis of Cyprus-specific mutations of SARS-CoV-2 strains using computational approaches
This article has 8 authors:Reviewed by ScreenIT
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In vitro evaluation of the effect of mutations in primer binding sites on detection of SARS-CoV-2 by RT-qPCR
This article has 6 authors:Reviewed by ScreenIT
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Antiviral Combination Clinically Better Than Standard Therapy in Severe but Not in Non-Severe COVID-19
This article has 13 authors:Reviewed by ScreenIT
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Dual roles of a novel oncolytic viral vector-based SARS-CoV-2 vaccine: preventing COVID-19 and treating tumor progression
This article has 20 authors:Reviewed by ScreenIT
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Prevalence of long-term effects in individuals diagnosed with COVID-19: an updated living systematic review
This article has 14 authors:Reviewed by ScreenIT
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Pre-infection 25-hydroxyvitamin D3 levels and association with severity of COVID-19 illness
This article has 18 authors:Reviewed by ScreenIT
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The local anaesthetic procaine prodrugs ProcCluster ® and Procaine-hydrochloride impair SARS-CoV-2 replication in vitro
This article has 5 authors:Reviewed by ScreenIT
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Fulminant and Non-fulminant Clinical COVID-19 Myocarditis in the New York City Area in 2020
This article has 3 authors:Reviewed by ScreenIT