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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Using conditional inference to quantify interaction effects of socio-demographic covariates of US COVID-19 vaccine hesitancy
This article has 2 authors:Reviewed by ScreenIT
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SARS-CoV-2 multi-variant rapid detector based on graphene transistor functionalized with an engineered dimeric ACE2 receptor
This article has 28 authors:Reviewed by ScreenIT
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Clinical evaluation of a RT-LAMP SARS-CoV-2 test for the Point-Of-Care, rapid, low-cost, integrating sample solid phase extraction and on which reagents are lyophilized
This article has 17 authors:Reviewed by ScreenIT
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Humoral response to the BBIBP-CorV vaccine over time in healthcare workers with or without exposure to SARS-CoV-2
This article has 15 authors:Reviewed by ScreenIT
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Utility of Walk Tests in the Progression of Mild COVID-19 Infection at a Tertiary Hospital in North India
This article has 6 authors:Reviewed by ScreenIT
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Humoral immune responses to COVID-19 vaccination in people living with HIV receiving suppressive antiretroviral therapy
This article has 43 authors:Reviewed by ScreenIT
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Appearance of IgG to SARS-CoV-2 in saliva effectively indicates seroconversion in mRNA vaccinated immunocompromised individuals
This article has 29 authors:Reviewed by ScreenIT
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Impact of the COVID-19 Pandemic on Diet Behaviour Among UK Adults: A Longitudinal Analysis of the HEBECO Study
This article has 7 authors:Reviewed by ScreenIT
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SARS-CoV-2 seroprevalence among healthcare workers
This article has 14 authors:Reviewed by ScreenIT
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Genomic diversity of SARS‐CoV‐2 in Pakistan during the fourth wave of pandemic
This article has 9 authors:Reviewed by ScreenIT