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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Non-differential risk of SARS-CoV-2 infection for members of polling stations on Catalan parliament voting day
This article has 11 authors:Reviewed by ScreenIT
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Rapidly emerging SARS-CoV-2 B.1.1.7 sub-lineage in the United States of America with spike protein D178H and membrane protein V70L mutations
This article has 6 authors:Reviewed by ScreenIT
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Spike-antibody responses to ChAdOx1 and BNT162b2 vaccines by demographic and clinical factors (Virus Watch study)
This article has 17 authors:Reviewed by ScreenIT
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SARS-CoV-2 variant B.1.1.7 susceptibility and infectiousness of children and adults deduced from investigations of childcare centre outbreaks, Germany, 2021
This article has 12 authors:Reviewed by ScreenIT
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Estimated Transmission Outcomes and Costs of SARS-CoV-2 Diagnostic Testing, Screening, and Surveillance Strategies Among a Simulated Population of Primary School Students
This article has 7 authors:Reviewed by ScreenIT
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The US Midlife Mortality Crisis Continues: Excess Cause-Specific Mortality During 2020
This article has 1 author:Reviewed by ScreenIT
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Phylogenomics and population genomics of SARS-CoV-2 in Mexico during the pre-vaccination stage reveals variants of interest B.1.1.28.4 and B.1.1.222 or B.1.1.519 and the nucleocapsid mutation S194L associated with symptoms
This article has 16 authors:Reviewed by ScreenIT
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Fc-Independent Protection from SARS-CoV-2 Infection by Recombinant Human Monoclonal Antibodies
This article has 18 authors:Reviewed by ScreenIT
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Occupation and COVID-19 mortality in England: a national linked data study of 14.3 million adults
This article has 11 authors:Reviewed by ScreenIT
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Inequalities in excess premature mortality in England during the COVID-19 pandemic: a cross-sectional analysis of cumulative excess mortality by area deprivation and ethnicity
This article has 10 authors:Reviewed by ScreenIT