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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Investigation of a SARS-CoV-2 outbreak in a Texas summer camp resulting from a single introduction
This article has 14 authors:Reviewed by ScreenIT
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Incidence of SARS‐CoV‐2 infection among unvaccinated US adults during the Omicron wave
This article has 9 authors:Reviewed by ScreenIT
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Potentiating the cross-reactive IFN-γ T cell and polyfunctional T cell responses by heterologous GX-19N DNA booster in mice primed with either a COVID-19 mRNA vaccine or inactivated vaccine
This article has 8 authors:Reviewed by ScreenIT
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Monitoring for SARS-CoV-2 drug resistance mutations in broad viral populations
This article has 4 authors:Reviewed by ScreenIT
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SARS-CoV-2 neutralising antibody activity in a highly vaccinated population: Longitudinal serology studies in Singapore
This article has 5 authors:Reviewed by ScreenIT
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Respiratory mucosal vaccination of peptide-poloxamine-DNA nanoparticles provides complete protection against lethal SARS-CoV-2 challenge
This article has 25 authors:Reviewed by ScreenIT
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The U.S. faculty job market survives the SARS-CoV-2 global pandemic
This article has 5 authors:Reviewed by ScreenIT
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Specifying uniform eligibility criteria to strengthen causal inference studies of long-term outcomes of COVID-19
This article has 10 authors:Reviewed by ScreenIT
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Biochemical and structural insights into SARS-CoV-2 polyprotein processing by Mpro
This article has 11 authors:Reviewed by ScreenIT
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Young age, student status and reported non-binary gender associate strongly with decreased functioning during Covid-19 pandemic in a university community
This article has 3 authors:Reviewed by ScreenIT