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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Impacts of the COVID‐19 epidemic on the department of stomatology in a tertiary hospital: A case study in the General Hospital of the Central Theater Command, Wuhan, China
This article has 5 authors:Reviewed by ScreenIT
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COVID-19 Dynamics: A Heterogeneous Model
This article has 4 authors:Reviewed by ScreenIT
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Neurology and neuropsychiatry of COVID-19: a systematic review and meta-analysis of the early literature reveals frequent CNS manifestations and key emerging narratives
This article has 30 authors:Reviewed by ScreenIT
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Ideology and compliance with health guidelines during the COVID‐19 pandemic: A comparative perspective
This article has 4 authors:Reviewed by ScreenIT
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Super-Spreaders Out, Super-Spreading In: The Effects of Infectiousness Heterogeneity and Lockdowns on Herd Immunity
This article has 2 authors:Reviewed by ScreenIT
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Social contact patterns among employees in 3 U.S. companies during early phases of the COVID-19 pandemic, April to June 2020
This article has 17 authors:Reviewed by ScreenIT
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Comparing COVID-19 physical distancing policies: results from a physical distancing intensity coding framework for Botswana, India, Jamaica, Mozambique, Namibia, Ukraine, and the United States
This article has 14 authors:Reviewed by ScreenIT
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Characterization of SARS-CoV-2 RNA, Antibodies, and Neutralizing Capacity in Milk Produced by Women with COVID-19
This article has 21 authors:Reviewed by ScreenIT
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ORF3a mediated-incomplete autophagy facilitates SARS-CoV-2 replication
This article has 15 authors:Reviewed by ScreenIT
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Incubation period of COVID-19 in the “live-house” cluster of accurately known infection events and delay time from symptom onset of public reporting observed in cases in Osaka, Japan
This article has 1 author:Reviewed by ScreenIT