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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Discovery of potential imaging and therapeutic targets for severe inflammation in COVID-19 patients
This article has 5 authors:Reviewed by ScreenIT
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COVID-19 Risk Perception Among U.S. Adults: Changes from February to May 2020
This article has 6 authors:Reviewed by ScreenIT
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A potential interaction between the SARS-CoV-2 spike protein and nicotinic acetylcholine receptors
This article has 10 authors:Reviewed by ScreenIT
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‘Necessity is the mother of invention’: Specialist palliative care service innovation and practice change in response to COVID-19. Results from a multinational survey (CovPall)
This article has 13 authors:Reviewed by ScreenIT
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COVID-19 attack rate increases with city size
This article has 3 authors:Reviewed by ScreenIT
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Assessing the age specificity of infection fatality rates for COVID-19: systematic review, meta-analysis, and public policy implications
This article has 6 authors:Reviewed by ScreenIT
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Rapid Impact Analysis of B 1.1.7 Variant on the Spread of SARS-CoV-2 in North Carolina
This article has 1 author:Reviewed by ScreenIT
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Protection against reinfection with D614- or G614-SARS-CoV-2 isolates in hamsters
This article has 18 authors:Reviewed by ScreenIT
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Early High-Titer Plasma Therapy to Prevent Severe Covid-19 in Older Adults
This article has 56 authors:Reviewed by ScreenIT
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Inhibition of Severe Acute Respiratory Syndrome Coronavirus 2 Replication by Hypertonic Saline Solution in Lung and Kidney Epithelial Cells
This article has 12 authors:Reviewed by ScreenIT