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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Mental Health of Medical Workers During the COVID-19 Pandemic in Russia: Results of a Cross-Sectional Study
This article has 5 authors:Reviewed by ScreenIT
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Universal admission screening strategy for COVID-19 highlighted the clinical importance of reporting SARS-CoV-2 viral loads
This article has 7 authors:Reviewed by ScreenIT
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Assessment of Obstructive Sleep Apnea in Association with Severity of COVID-19: A Prospective Observational Study
This article has 9 authors:Reviewed by ScreenIT
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A Tethered Ligand Assay to Probe the SARS-CoV-2 ACE2 Interaction under Constant Force
This article has 7 authors:Reviewed by ScreenIT
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Co-infection in critically ill patients with COVID-19: an observational cohort study from England
This article has 31 authors:Reviewed by ScreenIT
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Increasing but inadequate intention to receive Covid-19 vaccination over the first 50 days of impact of the more infectious variant and roll-out of vaccination in UK: indicators for public health messaging
This article has 5 authors:Reviewed by ScreenIT
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RPA-Based Method For The Detection Of SARS-COV2
This article has 11 authors:Reviewed by ScreenIT
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Ethnic-minority groups in England and Wales—factors associated with the size and timing of elevated COVID-19 mortality: a retrospective cohort study linking census and death records
This article has 12 authors:Reviewed by ScreenIT
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Risk factors for increased COVID-19 case-fatality in the United States: A county-level analysis during the first wave
This article has 10 authors:Reviewed by ScreenIT
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IgG antibody seroconversion and the clinical progression of COVID-19 pneumonia: A retrospective, cohort study
This article has 15 authors:Reviewed by ScreenIT