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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Cumulative Active and Recovery Rates Based Criterion for Gradual Lockdown Exit: A Global Observation of SARS Cov-2 Management
This article has 4 authors:Reviewed by ScreenIT
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Alveolitis in severe SARS-CoV-2 pneumonia is driven by self-sustaining circuits between infected alveolar macrophages and T cells
This article has 35 authors:Reviewed by ScreenIT
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Prevalence of IgG antibodies to SARS-CoV-2 in Wuhan – implications for the ability to produce long-lasting protective antibodies against SARS-CoV-2
This article has 7 authors:Reviewed by ScreenIT
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Mapping each pre-existing condition’s association to short-term and long-term COVID-19 complications
This article has 16 authors:Reviewed by ScreenIT
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The incidence, characteristics and outcomes of pregnant women hospitalized with symptomatic and asymptomatic SARS-CoV-2 infection in the UK from March to September 2020: A national cohort study using the UK Obstetric Surveillance System (UKOSS)
This article has 10 authors:Reviewed by ScreenIT
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Binding Mode of SARS-CoV2 Fusion Peptide to Human Cellular Membrane
This article has 4 authors:Reviewed by ScreenIT
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Knowledge and preparedness of community pharmacists in the fight against COVID-19 in Zambia
This article has 4 authors:Reviewed by ScreenIT
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Evaluation of COVID-19 as a risk factor for maternal-fetal and neonatal complications: protocol of a systematic review and meta-analysis of cohort and case-control studies
This article has 8 authors:Reviewed by ScreenIT
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Twitter Interaction to Analyze Covid-19 Impact in Ghana, Africa from March to July
This article has 2 authors:Reviewed by ScreenIT