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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Long COVID burden and risk factors in 10 UK longitudinal studies and electronic health records
This article has 67 authors:Reviewed by ScreenIT
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SARS-CoV-2 lineage B.1.1.7 is associated with greater disease severity among hospitalised women but not men: multicentre cohort study
This article has 43 authors:Reviewed by ScreenIT
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WHotLAMP: A simple, inexpensive, and sensitive molecular test for the detection of SARS-CoV-2 in saliva
This article has 19 authors:Reviewed by ScreenIT
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Antibody neutralization to SARS-CoV-2 and variants after 1 year in Wuhan, China
This article has 26 authors:Reviewed by ScreenIT
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Development and validation of an enzyme-linked immunoassay kit for diagnosis and surveillance of COVID-19
This article has 16 authors:Reviewed by ScreenIT
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The green tea catechin EGCG provides proof-of-concept for a pan-coronavirus entry inhibitor
This article has 2 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 short-term interval prediction in spring 2021
This article has 3 authors:Reviewed by ScreenIT
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Structure and computation-guided design of a mutation-integrated trimeric RBD candidate vaccine with broad neutralization against SARS-CoV-2
This article has 33 authors:Reviewed by ScreenIT
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A proteomic survival predictor for COVID-19 patients in intensive care
This article has 70 authors:Reviewed by ScreenIT
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Impact of vaccination in reducing Hospital expenses, Mortality and Average length of stay among COVID-19 patients – a retrospective cohort study from India
This article has 2 authors:Reviewed by ScreenIT