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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Antibody responses to SARS‐CoV ‐2 vaccination in patients with acute myeloid leukaemia and high risk MDS on active anti‐cancer therapies
This article has 8 authors:Reviewed by ScreenIT
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Immunogenicity of BNT162b2 COVID-19 vaccine in New Zealand adults
This article has 13 authors:Reviewed by ScreenIT
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Unsuppressed HIV infection impairs T cell responses to SARS-CoV-2 infection and abrogates T cell cross-recognition
This article has 12 authors:This article has been curated by 1 group: -
Interleukin-6 as a predictor of early weaning from invasive mechanical ventilation in patients with acute respiratory distress syndrome
This article has 6 authors:Reviewed by ScreenIT
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Costs, Reach, and Benefits of COVID-19 Pandemic Electronic Benefit Transfer and Grab-and-Go School Meals for Ensuring Youths’ Access to Food During School Closures
This article has 7 authors:Reviewed by ScreenIT
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Delta-Omicron recombinant escapes therapeutic antibody neutralization
This article has 22 authors:Reviewed by ScreenIT
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Delineating antibody escape from Omicron sublineages
This article has 13 authors:Reviewed by ScreenIT
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Racial/Ethnic, Biomedical, and Sociodemographic Risk Factors for COVID-19 Positivity and Hospitalization in the San Francisco Bay Area
This article has 2 authors:Reviewed by ScreenIT
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Sotrovimab Resistance and Viral Persistence After Treatment of Immunocompromised Patients Infected With the Severe Acute Respiratory Syndrome Coronavirus 2 Omicron Variant
This article has 5 authors:Reviewed by ScreenIT
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From Alpha to Omicron BA.2: New digital RT-PCR approach and challenges for SARS-CoV-2 VOC monitoring and normalization of variant dynamics in wastewater
This article has 18 authors:Reviewed by ScreenIT