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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Psychological distress, depression, anxiety, and life satisfaction following COVID-19 infection: evidence from 11 UK longitudinal population studies
This article has 22 authors:Reviewed by ScreenIT
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Post COVID-19 condition of the Omicron variant of SARS-CoV-2
This article has 16 authors:Reviewed by ScreenIT
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Elevated liver enzymes and bilirubin following SARS-CoV-2 infection in children under 10
This article has 5 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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The preliminary safety and immunogenicity results of a randomized, double-blind, placebo-controlled Phase I trial for a recombinant two-component subunit SARS-CoV-2 vaccine ReCOV
This article has 13 authors:Reviewed by ScreenIT
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Tracking changes in SARS-CoV-2 transmission with a novel outpatient sentinel surveillance system in Chicago, USA
This article has 10 authors:Reviewed by ScreenIT
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CHARACTERISTICS AND OUTCOMES OF INDIVIDUALS WITH COVID-19: EVIDENCE FROM A HOSPITAL BASED STUDY
This article has 3 authors:Reviewed by ScreenIT
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Acceptability of a behavioural intervention to mitigate the psychological impacts of COVID-19 restrictions in older people with long-term conditions: a qualitative study
This article has 15 authors:Reviewed by ScreenIT
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Radiological Findings in SARS-CoV-2 Viral Pneumonia Compared to Other Viral Pneumonias: A Single-Centre Study
This article has 8 authors:Reviewed by ScreenIT
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Structural insights for neutralization of Omicron variants BA.1, BA.2, BA.4, and BA.5 by a broadly neutralizing SARS-CoV-2 antibody
This article has 34 authors:Reviewed by ScreenIT
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Humoral immunity to SARS-CoV-2 elicited by combination COVID-19 vaccination regimens
This article has 30 authors:Reviewed by ScreenIT