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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Deep-learning convolutional neural networks with transfer learning accurately classify COVID-19 lung infection on portable chest radiographs
This article has 5 authors:Reviewed by ScreenIT
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Adaptive Susceptible-Infectious-Removed Model for Continuous Estimation of the COVID-19 Infection Rate and Reproduction Number in the United States: Modeling Study
This article has 4 authors:Reviewed by ScreenIT
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The effect of age on the association between diabetes and mortality in adult patients with COVID-19 in Mexico
This article has 2 authors:Reviewed by ScreenIT
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The trade-off between mobility and vaccination for COVID-19 control: a metapopulation modelling approach
This article has 2 authors:Reviewed by ScreenIT
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Pattern of early human-to-human transmission of Wuhan 2019-nCoV
This article has 2 authors:Reviewed by ScreenIT
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Antibody Response against SARS-CoV-2 and Seasonal Coronaviruses in Nonhospitalized COVID-19 Patients
This article has 13 authors:Reviewed by ScreenIT
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Standard blood laboratory values as a clinical support tool to distinguish between SARS-CoV-2 positive and negative patients
This article has 15 authors:Reviewed by ScreenIT
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Computational prediction of SARS-CoV-2 encoded miRNAs and their putative host targets
This article has 4 authors:Reviewed by ScreenIT
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Characteristics, Management And Outcomes Of Critically Ill Covid-19 Patients Admitted To Icu In Hospitals In Bangladesh: A Retrospective Study
This article has 12 authors:Reviewed by ScreenIT
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Associations Between Governor Political Affiliation and COVID-19 Cases, Deaths, and Testing in the U.S.
This article has 5 authors:Reviewed by ScreenIT