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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Six-month sequelae of post-vaccination SARS-CoV-2 infection: A retrospective cohort study of 10,024 breakthrough infections
This article has 3 authors: -
Epidemiological, virological and serological investigation of a SARS-CoV-2 outbreak (Alpha variant) in a primary school: A prospective longitudinal study
This article has 19 authors:Reviewed by ScreenIT
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SARS-CoV-2 Spike S1-specific IgG kinetic profiles following mRNA or vector-based vaccination in the general Dutch population show distinct kinetics
This article has 18 authors:Reviewed by ScreenIT
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A scalable serology solution for profiling humoral immune responses to SARS-CoV-2 infection and vaccination
This article has 31 authors:Reviewed by ScreenIT
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Effectiveness of Covid-19 Vaccines in the United States Over 9 Months: Surveillance Data from the State of North Carolina
This article has 8 authors:Reviewed by ScreenIT
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Optimising the balance of acute and intermediate care capacity for the complex discharge pathway: Computer modelling study during COVID-19 recovery in England
This article has 7 authors:Reviewed by ScreenIT
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Boosting of the SARS-CoV-2–Specific Immune Response after Vaccination with Single-Dose Sputnik Light Vaccine
This article has 12 authors:Reviewed by ScreenIT
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Deaths averted by vaccination due to reduced transmission can exceed those from direct protection of vaccinated individuals for SARS-CoV-2
This article has 2 authors:Reviewed by ScreenIT
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Severity of Illness Caused by Severe Acute Respiratory Syndrome Coronavirus 2 Variants of Concern in Children: A Single-Center Retrospective Cohort Study
This article has 15 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Main COVID-19 information sources in a culturally and linguistically diverse community in Sydney, Australia: A cross-sectional survey
This article has 15 authors:Reviewed by ScreenIT