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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Clinical and immunological signatures of severe COVID-19 in previously healthy patients with clonal hematopoiesis
This article has 28 authors:Reviewed by ScreenIT
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Adverse events of special interest for COVID-19 vaccines - background incidences vary by sex, age and time period and are affected by the pandemic
This article has 9 authors:Reviewed by ScreenIT
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B.1.617.3 SARS CoV-2 spike E156G/Δ157-158 mutations contribute to reduced neutralization sensitivity and increased infectivity
This article has 8 authors:Reviewed by ScreenIT
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Emergence and onward transmission of a SARS-CoV-2 E484K variant among household contacts of a bamlanivimab-treated patient
This article has 3 authors:Reviewed by ScreenIT
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Lung-selective Cas13d-based nanotherapy inhibits lethal SARS-CoV-2 infection by targeting host protease Ctsl
This article has 14 authors:Reviewed by ScreenIT
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Use of an EHR to inform an administrative data algorithm to categorize inpatient COVID-19 severity
This article has 10 authors:Reviewed by ScreenIT
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Circulating proteins to predict adverse COVID-19 outcomes
This article has 67 authors:Reviewed by ScreenIT
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Acute COVID-19 gene-expression profiles show multiple etiologies of long-term sequelae
This article has 34 authors:Reviewed by ScreenIT
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Increase in preterm stillbirths in association with reduction in iatrogenic preterm births during COVID-19 lockdown in Australia: a multicenter cohort study
This article has 12 authors:Reviewed by ScreenIT
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Yearlong COVID-19 Infection Reveals Within-Host Evolution of SARS-CoV-2 in a Patient With B-Cell Depletion
This article has 15 authors:Reviewed by ScreenIT