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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Intranasal Immunization with a Proteosome-Adjuvanted SARS-CoV2 Spike Protein-Based Vaccine is Immunogenic and Efficacious in Mice & Hamsters
This article has 19 authors:Reviewed by ScreenIT
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Discovery of compounds that inhibit SARS-CoV-2 Mac1-ADP-ribose binding by high-throughput screening
This article has 10 authors:Reviewed by ScreenIT
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Comparing Waves of COVID-19 in the US: Scale of response changes over time
This article has 4 authors:Reviewed by ScreenIT
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Patients with CLL have a lower risk of death from COVID-19 in the Omicron era
This article has 5 authors:Reviewed by ScreenIT
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Duration of Shedding of Culturable Virus in SARS-CoV-2 Omicron (BA.1) Infection
This article has 26 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Transcriptomic clustering of critically ill COVID-19 patients
This article has 19 authors:Reviewed by ScreenIT
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Decoding COVID-19 mRNA Vaccine Immunometabolism in Central Nervous System: human brain normal glial and glioma cells by Raman imaging
This article has 3 authors:Reviewed by ScreenIT
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Descriptive and Narrative Study of Long Covid Cases in General Practice and Diagnostic Value of Single Photon Emission Computed Tomography (SPECT scan)
This article has 3 authors:Reviewed by ScreenIT
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In vitro Characterization of SARS-CoV-2 Protein Translated from the Moderna mRNA-1273 Vaccine
This article has 4 authors:Reviewed by ScreenIT
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Racial and ethnic disparities in the observed COVID-19 case fatality rate among the U.S. population
This article has 6 authors:Reviewed by ScreenIT