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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The impact of community asymptomatic rapid antigen testing on COVID-19 hospital admissions: a synthetic control study
This article has 8 authors:Reviewed by ScreenIT
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The statistical analysis of daily data associated with different parameters of the New Coronavirus COVID-19 pandemic in Georgia and their monthly interval prediction from January 1, 2022 to March 31, 2022
This article has 3 authors:Reviewed by ScreenIT
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Immune response to 2-dose BNT162b2 vaccination and risk of SARS-CoV-2 breakthrough infection: The Shieldvacc-2 study
This article has 18 authors:Reviewed by ScreenIT
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Public attitudes towards COVID-19 vaccines in Africa: A systematic review
This article has 6 authors:Reviewed by ScreenIT
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A Statistical Argument Against Vaccine Injury
This article has 1 author:Reviewed by ScreenIT
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Monoclonal Antibodies for Treatment of SARS-CoV-2 Infection During Pregnancy
This article has 7 authors:Reviewed by ScreenIT
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“ Younger women had more access to COVID-19 information ”: An Intersectional Analysis of Factors Influencing Women and Girls’ Access to COVID-19 Information in Rohingya and Host Communities in Bangladesh
This article has 5 authors:Reviewed by ScreenIT
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COVID-19 outcomes by cancer status, type, treatment, and vaccination
This article has 8 authors:Reviewed by ScreenIT
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Elevated plasma Complement Factor H Regulating Protein 5 is associated with venous thromboembolism and COVID-19 severity
This article has 33 authors:Reviewed by ScreenIT
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Effectiveness of Primary and Booster COVID-19 mRNA Vaccination against Omicron Variant SARS-CoV-2 Infection in People with a Prior SARS-CoV-2 Infection
This article has 20 authors:Reviewed by ScreenIT