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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Synergistic and Antagonistic Drug Combinations against SARS-CoV-2
This article has 13 authors:Reviewed by ScreenIT
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Assessment of proton-coupled conformational dynamics of SARS and MERS coronavirus papain-like proteases: Implication for designing broad-spectrum antiviral inhibitors
This article has 5 authors:Reviewed by ScreenIT
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Multicenter comparison of the Cobas 6800 system with the RealStar RT-PCR kit for the detection of SARS-CoV-2
This article has 15 authors:Reviewed by ScreenIT
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Early data on the performance of a combined SARS-CoV-2 spike-nucleocapsid antibody lateral flow immunoassay device compared with a nucleocapsid-only device
This article has 4 authors:Reviewed by ScreenIT
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A simple, safe and sensitive method for SARS‐CoV‐2 inactivation and RNA extraction for RT‐qPCR
This article has 8 authors:Reviewed by ScreenIT
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SARS-CoV-2 reactive T cells in uninfected individuals are likely expanded by beta-coronaviruses
This article has 5 authors:Reviewed by ScreenIT
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Cluster analysis of epidemiological characteristic features of confirmed cases with the novel coronavirus (COVID-19) outside China: a descriptive study
This article has 9 authors:Reviewed by ScreenIT
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A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine
This article has 12 authors:Reviewed by ScreenIT
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Quantifying the impact of US state non-pharmaceutical interventions on COVID-19 transmission
This article has 6 authors:Reviewed by ScreenIT
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Real-World Effectiveness and Optimal Dosage of Favipiravir for Treatment of COVID-19: Results from a Multicenter Observational Study in Thailand
This article has 5 authors:Reviewed by ScreenIT