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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Pregnancy and birth outcomes after SARS-CoV-2 vaccination in pregnancy
This article has 6 authors:Reviewed by ScreenIT
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Measurement of respiratory rate using wearable devices and applications to COVID-19 detection
This article has 6 authors:Reviewed by ScreenIT
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A common allele of HLA is associated with asymptomatic SARS-CoV-2 infection
This article has 39 authors:Reviewed by ScreenIT
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Fatal breakthrough infection after anti-BCMA CAR-T therapy highlights suboptimal immune response to SARS-CoV-2 vaccination in myeloma patients
This article has 34 authors:Reviewed by ScreenIT
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Combined association of obesity and other cardiometabolic diseases with severe COVID-19 outcomes: a nationwide cross-sectional study of 21 773 Brazilian adult and elderly inpatients
This article has 13 authors:Reviewed by ScreenIT
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Partial resistance of SARS-CoV-2 Delta variants to vaccine-elicited antibodies and convalescent sera
This article has 6 authors:Reviewed by ScreenIT
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Association of COVID-19 Quarantine Duration and Postquarantine Transmission Risk in 4 University Cohorts
This article has 12 authors:Reviewed by ScreenIT
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The landscape of COVID-19 vaccination among healthcare workers at the first round of COVID-19 vaccination in China: willingness, acceptance and self-reported adverse effects
This article has 13 authors:Reviewed by ScreenIT
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COVID-19 Serology in New York State Using a Multiplex Microsphere Immunoassay
This article has 24 authors:Reviewed by ScreenIT
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Evaluation of SARS-CoV-2 rapid antigen diagnostic tests for saliva samples
This article has 8 authors:Reviewed by ScreenIT