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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High transmissibility of COVID-19 near symptom onset
This article has 7 authors:Reviewed by ScreenIT
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Evolution and effects of COVID-19 outbreaks in care homes: a population analysis in 189 care homes in one geographical region of the UK
This article has 14 authors:Reviewed by ScreenIT
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Twitter discourse on nicotine as potential prophylactic or therapeutic for COVID-19
This article has 3 authors:Reviewed by ScreenIT
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A decline in planned, but not spontaneous, preterm birth rates in a large Australian tertiary maternity centre during COVID‐19 mitigation measures
This article has 6 authors:Reviewed by ScreenIT
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Protecting our health care workers while protecting our communities during the COVID-19 pandemic: a comparison of approaches and early outcomes in two Italian regions, 2020
This article has 4 authors:Reviewed by ScreenIT
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Prevalence of SARS-Cov-2 antibodies and living conditions: the French national random population-based EPICOV cohort
This article has 31 authors:Reviewed by ScreenIT
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Is the Current N95 Respirator Filtration Efficiency Test Sufficient for Evaluating Protection Against Submicrometer Particles Containing SARS-CoV-2?
This article has 4 authors:Reviewed by ScreenIT
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Potential spreading risks and disinfection challenges of medical wastewater by the presence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) viral RNA in septic tanks of Fangcang Hospital
This article has 15 authors:Reviewed by ScreenIT
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Safety, Tolerability, and Immunogenicity of COVID-19 Vaccines: A Systematic Review and Meta-Analysis
This article has 8 authors:Reviewed by ScreenIT
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The Utility of rRT-PCR in Diagnosis and Assessment of Case-fatality rates of COVID-19 In the Iranian Population – Positive Test Results are a Marker for Illness Severity
This article has 11 authors:Reviewed by ScreenIT