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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Exploring Patient and Staff Experiences With Video Consultations During COVID-19 in an English Outpatient Care Setting: Secondary Data Analysis of Routinely Collected Feedback Data
This article has 8 authors:Reviewed by ScreenIT
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NIH funding for vaccine readiness before the COVID-19 pandemic
This article has 4 authors:Reviewed by ScreenIT
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Eleven routine clinical features predict COVID-19 severity uncovered by machine learning of longitudinal measurements
This article has 34 authors:Reviewed by ScreenIT
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SARS-CoV-2 detection using isothermal amplification and a rapid, inexpensive protocol for sample inactivation and purification
This article has 2 authors:Reviewed by ScreenIT
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Stability of SARS-CoV-2 RNA in Nonsupplemented Saliva
This article has 25 authors:Reviewed by ScreenIT
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X-ray screening identifies active site and allosteric inhibitors of SARS-CoV-2 main protease
This article has 102 authors:Reviewed by ScreenIT
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TCR meta-clonotypes for biomarker discovery with tcrdist3 enabled identification of public, HLA-restricted clusters of SARS-CoV-2 TCRs
This article has 10 authors:This article has been curated by 1 group: -
Estimation of COVID-19 case fatality ratio based on a bi-directional correction method
This article has 8 authors:Reviewed by ScreenIT
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SARS-CoV-2 RNA detection using pooling of self-collected samples: Simple protocol may foster asymptomatic surveillance
This article has 15 authors:Reviewed by ScreenIT
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Understanding patterns of adherence to COVID-19 mitigation measures: a qualitative interview study
This article has 13 authors:Reviewed by ScreenIT