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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Risk of COVID-19 infection and work place exposure of front-line mass media professionals
This article has 6 authors:Reviewed by ScreenIT
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Viral shedding and transmission after natural infection and vaccination in an animal model of SARS-CoV-2 propagation
This article has 5 authors:Reviewed by ScreenIT
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Live virus neutralisation testing in convalescent patients and subjects vaccinated against 19A, 20B, 20I/501Y.V1 and 20H/501Y.V2 isolates of SARS-CoV-2
This article has 17 authors:Reviewed by ScreenIT
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Characteristics of SARS‐CoV ‐2 positive individuals in California from two periods during notable decline in incident infection
This article has 4 authors:Reviewed by ScreenIT
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Modeling SARS-CoV-2 and influenza infections and antiviral treatments in human lung epithelial tissue equivalents
This article has 23 authors:Reviewed by ScreenIT
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Point‐of‐Care Platform for Rapid Multiplexed Detection of SARS‐CoV‐2 Variants and Respiratory Pathogens
This article has 8 authors:Reviewed by ScreenIT
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Lack of evidence for infectious SARS-CoV-2 in feces and sewage
This article has 5 authors:Reviewed by ScreenIT
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MASK MANDATES REDUCE COVID-19 MORTALITY: Analysis of 37 States and the District of Columbia, with a further analysis of the impact of demographic and medical factors on efficacy
This article has 1 author:Reviewed by ScreenIT
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Prevalence and source analysis of COVID-19 misinformation in 138 countries
This article has 1 author:Reviewed by ScreenIT
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Neutralizing response against E484K variant after original SARS-CoV-2 infection
This article has 3 authors:Reviewed by ScreenIT