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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A single de novo substitution in SARS-CoV-2 spike informs enhanced adherence to human ACE2
This article has 2 authors:Reviewed by ScreenIT
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Interval forecasts of weekly incident and cumulative COVID-19 mortality in the United States: A comparison of combining methods
This article has 2 authors:Reviewed by ScreenIT
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Olfactory detection of human odorant signatures in Covid patients by trained dogs
This article has 6 authors:Reviewed by ScreenIT
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Global and Regional Prevalence and Outcomes of COVID-19 in People Living with HIV: A Systematic Review and Meta-Analysis
This article has 6 authors:Reviewed by ScreenIT
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Using a population-based Kalman estimator to model the COVID-19 epidemic in France: estimating associations between disease transmission and non-pharmaceutical interventions
This article has 7 authors:Reviewed by ScreenIT
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Persistence of neutralizing antibodies a year after SARS‐CoV‐2 infection in humans
This article has 9 authors:Reviewed by ScreenIT
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Distinct Homologous and Variant-Specific Memory B-Cell and Antibody Response Over Time After Severe Acute Respiratory Syndrome Coronavirus 2 Messenger RNA Vaccination
This article has 6 authors:Reviewed by ScreenIT
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Clot Stiffness Measured By Seer Sonorheometry As a Marker Of Poor Prognosis In Hospitalized COVID-19 Patients
This article has 9 authors:Reviewed by ScreenIT
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SARS-CoV-2 antigen exposure history shapes phenotypes and specificity of memory CD8+ T cells
This article has 53 authors:Reviewed by ScreenIT
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Chronic fatigue syndrome and cognitive deficit are associated with acute-phase neuropsychiatric manifestations of COVID-19: A 9-month follow-up study
This article has 10 authors:Reviewed by ScreenIT