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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Factors Influencing The First and Second Peak of COVID-19 Global Cases: A Survival Analysis
This article has 4 authors:Reviewed by ScreenIT
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Signatures of adaptive evolution during human to mink SARS CoV2 cross-species transmission inform estimates of the COVID19 pandemic timing
This article has 9 authors:Reviewed by ScreenIT
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Humoral immune responses against seasonal coronaviruses predict efficiency of SARS-CoV-2 spike targeting, FcγR activation, and corresponding COVID-19 disease severity
This article has 11 authors:Reviewed by ScreenIT
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Geographic and Phylodynamic Distribution of SARS-CoV-2 from Environmental Origin
This article has 7 authors:Reviewed by ScreenIT
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Robust clinical detection of SARS‐CoV‐2 variants by RT‐PCR/MALDI‐TOF multitarget approach
This article has 26 authors:Reviewed by ScreenIT
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Anti-SARS-CoV-2 IgG and IgA antibodies in COVID-19 convalescent plasma do not facilitate antibody-dependent enhance of viral infection
This article has 8 authors:Reviewed by ScreenIT
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Characterizing flexibility and mobility in the natural mutations of the SARS-CoV-2 spikes
This article has 5 authors:Reviewed by ScreenIT
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Using artificial intelligence-based models to predict the risk of mucormycosis among COVID-19 survivors: An experience from a public hospital in India
This article has 10 authors:Reviewed by ScreenIT
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Localising vaccination services: Qualitative insights on public health and minority group collaborations to co-deliver coronavirus vaccines
This article has 10 authors:Reviewed by ScreenIT
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Interrogating COVID-19 vaccine intent in the Philippines with a nationwide open-access online survey
This article has 26 authors:Reviewed by ScreenIT