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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Attitudes towards Vaccines, Intent to Vaccinate and the Relationship with COVID-19 Vaccination Rates in Individuals with Schizophrenia
This article has 14 authors:Reviewed by ScreenIT
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Increased airborne transmission of COVID-19 with new variants, implications for health policies
This article has 4 authors:Reviewed by ScreenIT
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Sero-Prevalence of Covid-19 among workers in Malaysia
This article has 10 authors:Reviewed by ScreenIT
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Pooled RNA-extraction-free testing of saliva for the detection of SARS-CoV-2
This article has 4 authors:Reviewed by ScreenIT
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Distinct Vaccine Efficacy Rates Among Health Care Workers During a COVID-19 Outbreak in Jordan
This article has 13 authors:Reviewed by ScreenIT
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Evaluation of an emergency safe supply drugs and managed alcohol program in COVID-19 isolation hotel shelters for people experiencing homelessness
This article has 15 authors:Reviewed by ScreenIT
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Waning effectiveness of SARS-CoV-2 mRNA vaccines in older adults: a rapid review
This article has 3 authors:Reviewed by ScreenIT
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Tuftsin: A Natural Molecule Against SARS-CoV-2 Infection
This article has 6 authors:Reviewed by ScreenIT
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SARS-CoV-2 vaccination of convalescents boosts neutralization capacity against SARS-CoV-2 Delta and Omicron that can be predicted by anti-S antibody concentrations in serological assays
This article has 12 authors:Reviewed by ScreenIT
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Forecast of Omicron Wave Time Evolution
This article has 2 authors:Reviewed by ScreenIT