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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Association between mobility, non-pharmaceutical interventions, and COVID-19 transmission in Ghana: A modelling study using mobile phone data
This article has 14 authors:Reviewed by ScreenIT
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Waning of the Humoral Response to SARS-CoV-2 in Pregnancy is Variant-Dependent
This article has 24 authors:Reviewed by ScreenIT
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Determinants of pre-vaccination antibody responses to SARS-CoV-2: a population-based longitudinal study (COVIDENCE UK)
This article has 18 authors:Reviewed by ScreenIT
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Downsizing of COVID-19 contact tracing in highly immune populations
This article has 4 authors:Reviewed by ScreenIT
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Hypothyroidism does not lead to worse prognosis in COVID-19: findings from the Brazilian COVID-19 registry
This article has 64 authors:Reviewed by ScreenIT
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The effectiveness of COVID-19 vaccines in reducing the incidence, hospitalization, and mortality from COVID-19: A systematic review and meta-analysis
This article has 11 authors:Reviewed by ScreenIT
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A Randomized Clinical Trial Using CoronaVac or BNT162b2 Vaccine as a Third Dose in Adults Vaccinated with Two Doses of CoronaVac
This article has 10 authors:Reviewed by ScreenIT
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Plasma Markers of Neurologic Injury and Inflammation in People With Self-Reported Neurologic Postacute Sequelae of SARS-CoV-2 Infection
This article has 25 authors:Reviewed by ScreenIT
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Multiplex solid-phase RPA coupled CRISPR-based visual detection of SARS-CoV-2
This article has 6 authors:Reviewed by ScreenIT
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Prevalence of Antibodies to SARS-CoV-2 Following Natural Infection and Vaccination in Irish Hospital Healthcare Workers: Changing Epidemiology as the Pandemic Progresses
This article has 12 authors:Reviewed by ScreenIT