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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SARS-CoV-2-induced humoral immunity through B cell epitope analysis in COVID-19 infected individuals
This article has 9 authors:Reviewed by ScreenIT
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Structure-function investigation of a new VUI-202012/01 SARS-CoV-2 variant
This article has 4 authors:Reviewed by ScreenIT
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Invasive mould disease in fatal COVID-19: a systematic review of autopsies
This article has 4 authors:Reviewed by ScreenIT
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Phase-adjusted estimation of the number of Coronavirus Disease 2019 cases in Wuhan, China
This article has 15 authors:Reviewed by ScreenIT
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Tocilizumab is associated with reduction in inflammation and improvement in P/F ratio in critically sick COVID19 patients
This article has 7 authors:Reviewed by ScreenIT
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Prunella vulgaris extract and suramin block SARS-coronavirus 2 virus Spike protein D614 and G614 variants mediated receptor association and virus entry in cell culture system
This article has 7 authors:Reviewed by ScreenIT
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Oral ulcers of COVID-19 patients: a scoping review protocol
This article has 8 authors:Reviewed by ScreenIT
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Improved measurement of racial/ethnic disparities in COVID-19 mortality in the United States
This article has 2 authors:Reviewed by ScreenIT
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Predicting personal protective equipment use, trauma symptoms, and physical symptoms in the USA during the early weeks of the COVID-19 lockdown (April 9–18, 2020)
This article has 7 authors:Reviewed by ScreenIT
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Dose-response Relation Deduced for Coronaviruses From Coronavirus Disease 2019, Severe Acute Respiratory Syndrome, and Middle East Respiratory Syndrome: Meta-analysis Results and its Application for Infection Risk Assessment of Aerosol Transmission
This article has 2 authors:Reviewed by ScreenIT