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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Structural remodeling of SARS-CoV-2 spike protein glycans reveals the regulatory roles in receptor-binding affinity
This article has 6 authors:Reviewed by ScreenIT
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Behavioural barriers to COVID-19 testing in Australia: Two national surveys to identify barriers and estimate prevalence by health literacy level
This article has 11 authors:Reviewed by ScreenIT
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Unexplained longitudinal variability in COVID-19 antibody status by Lateral Flow Immuno-Antibody testing
This article has 11 authors:Reviewed by ScreenIT
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The Lambda variant of SARS-CoV-2 has a better chance than the Delta variant to escape vaccines
This article has 15 authors:Reviewed by ScreenIT
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Direct comparison of antibody responses to four SARS-CoV-2 vaccines in Mongolia
This article has 40 authors:Reviewed by ScreenIT
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Predicted long‐term impact of COVID ‐19 pandemic‐related care delays on cancer mortality in Canada
This article has 6 authors:Reviewed by ScreenIT
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Autoantibodies targeting GPCRs and RAS-related molecules associate with COVID-19 severity
This article has 36 authors:Reviewed by ScreenIT
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Influence of age on the effectiveness and duration of protection of Vaxzevria and CoronaVac vaccines: A population-based study
This article has 13 authors:Reviewed by ScreenIT
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Effects of Spike Mutations in SARS-CoV-2 Variants of Concern on Human or Animal ACE2-Mediated Virus Entry and Neutralization
This article has 10 authors:Reviewed by ScreenIT
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Longevity of SARS-CoV-2 Antibody in Health Care Workers: 6-Months Follow Up
This article has 10 authors:Reviewed by ScreenIT