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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Post-lockdown SARS-CoV-2 nucleic acid screening in nearly ten million residents of Wuhan, China
This article has 19 authors:Reviewed by ScreenIT
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Epidemiological Investigation of the First 135 COVID-19 Cases in Brunei: Implications for Surveillance, Control, and Travel Restrictions
This article has 7 authors:Reviewed by ScreenIT
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Handheld Point-of-Care System for Rapid Detection of SARS-CoV-2 Extracted RNA in under 20 min
This article has 15 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Epidemic trend analysis of SARS‐CoV ‐2 in South Asian Association for Regional Cooperation countries using modified susceptible‐infected‐recovered predictive model
This article has 5 authors:Reviewed by ScreenIT
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Forecasting the Number of Coronavirus (COVID-19) Cases in Ethiopia Using Exponential Smoothing Times Series Model
This article has 1 author:Reviewed by ScreenIT
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COVID‐19, smoking, vaping and quitting: a representative population survey in England
This article has 6 authors:Reviewed by ScreenIT
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Multiple myeloma and SARS-CoV-2 infection: clinical characteristics and prognostic factors of inpatient mortality
This article has 25 authors:Reviewed by ScreenIT
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The Prevalence of ocular manifestations and ocular samples polymerase chain reaction positivity in patients with COVID 19 - a systematic review and meta-analysis
This article has 5 authors:Reviewed by ScreenIT
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Inexpensive Multipatient Respiratory Monitoring System for Helmet Ventilation During COVID-19 Pandemic
This article has 22 authors:Reviewed by ScreenIT
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Prompt Reduction in CRP, IL-6, IFN-γ, IP-10, and MCP-1 and a Relatively Low Basal Ratio of Ferritin/CRP Is Possibly Associated With the Efficacy of Tocilizumab Monotherapy in Severely to Critically Ill Patients With COVID-19
This article has 21 authors:Reviewed by ScreenIT