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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Adverse outcomes in SARS-CoV-2 infections are associated with a combination of variant genotypes at two loci in the APOL1 gene: a UK Biobank study
This article has 7 authors:Reviewed by ScreenIT
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Chest Radiograph Severity and Its Association With Outcomes in Subjects With COVID-19 Presenting to the Emergency Department
This article has 8 authors:Reviewed by ScreenIT
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The Brief Observation of Symptoms of Autism (BOSA): Development of a New Adapted Assessment Measure for Remote Telehealth Administration Through COVID-19 and Beyond
This article has 8 authors:Reviewed by ScreenIT
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Retrospective cohort study of COVID-19 among children in Fulton County, Georgia, March 2020–June 2021
This article has 9 authors:Reviewed by ScreenIT
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Highly Sensitive Lineage Discrimination of SARS-CoV-2 Variants through Allele-Specific Probe PCR
This article has 28 authors:Reviewed by ScreenIT
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Automated interpretable discovery of heterogeneous treatment effectiveness: A COVID-19 case study
This article has 5 authors:Reviewed by ScreenIT
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Serological Response to BNT162b2 and ChAdOx1 nCoV-19 Vaccines in Patients with Inflammatory Bowel Disease on Biologic Therapies
This article has 14 authors:Reviewed by ScreenIT
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Comparative Genomics and Characterization of SARS-CoV-2 P.1 (Gamma) Variant of Concern From Amazonas, Brazil
This article has 10 authors:Reviewed by ScreenIT
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The UK Coronavirus Job Retention Scheme and smoking, alcohol consumption and vaping during the COVID-19 pandemic: evidence from eight longitudinal population surveys
This article has 19 authors:Reviewed by ScreenIT
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Severe COVID-19 induces autoantibodies against angiotensin II that correlate with blood pressure dysregulation and disease severity
This article has 13 authors:Reviewed by ScreenIT