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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A Smartphone-Based Platform Assisted by Artificial Intelligence for Reading and Reporting Rapid Diagnostic Tests: Evaluation Study in SARS-CoV-2 Lateral Flow Immunoassays
This article has 15 authors:Reviewed by ScreenIT
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Performance of three rapid antigen tests against the SARS-CoV-2 Omicron variant
This article has 12 authors:Reviewed by ScreenIT
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The effects of COVID-19 on European healthcare provision for people with major depressive disorder: a scoping review protocol
This article has 8 authors:Reviewed by ScreenIT
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Coordinated, multicellular patterns of transcriptional variation that stratify patient cohorts are revealed by tensor decomposition
This article has 7 authors:Reviewed by ScreenIT
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Host and microbiome features of secondary infections in lethal covid-19
This article has 25 authors:Reviewed by ScreenIT
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Steroid Treatment Balance According To The Lymphocyte / White Blood Cells Ratio In COVID-19 Patients, A Retrospective Cohort Analysis
This article has 5 authors:Reviewed by ScreenIT
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Narratives of the convalescent plasma donor in a Peruvian social security hospital.: motivations, fears, expectations and experiences
This article has 12 authors:Reviewed by ScreenIT
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Mosaic receptor-binding domain nanoparticles induce protective immunity against SARS-CoV-2 challenges
This article has 20 authors:Reviewed by ScreenIT
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On Correlation between Structural Properties and Viral Escape Measurements from Deep Mutational Scanning
This article has 3 authors:Reviewed by ScreenIT
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Refolding of lid subdomain of SARS-CoV-2 nsp14 upon nsp10 interaction releases exonuclease activity
This article has 15 authors:Reviewed by ScreenIT