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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NO INCREASE IN RELATIVE MORTALITY RATES FOR THOSE WITHOUT A COLLEGE DEGREE DURING COVID-19: AN ANOMALY
This article has 2 authors:Reviewed by ScreenIT
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Doxycycline is a safe alternative to Hydroxychloroquine + Azithromycin to prevent clinical worsening and hospitalization in mild COVID-19 patients: An open label randomized clinical trial (DOXYCOV)
This article has 16 authors:Reviewed by ScreenIT
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MS-based targeted profiling of oxylipins in COVID-19: A new insight into inflammation regulation
This article has 16 authors:Reviewed by ScreenIT
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Infection or a third dose of mRNA vaccine elicits neutralizing antibody responses against SARS-CoV-2 in kidney transplant recipients
This article has 23 authors:Reviewed by ScreenIT
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Can we use temperature measurements to identify pre‐symptomatic SARS‐CoV‐2 infection in nursing home residents?
This article has 14 authors:Reviewed by ScreenIT
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Correlates of neutralizing/SARS-CoV-2-S1-binding antibody response with adverse effects and immune kinetics in BNT162b2-vaccinated individuals
This article has 22 authors:Reviewed by ScreenIT
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Association of E484K Spike Protein Mutation With Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection in Vaccinated Persons: Maryland, January–May 2021
This article has 17 authors:Reviewed by ScreenIT
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U.S. dog importations during the COVID-19 pandemic: Do we have an erupting problem?
This article has 5 authors:Reviewed by ScreenIT
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The association between statin and COVID-19 adverse outcomes: national COVID-19 cohort in South Korea
This article has 7 authors:Reviewed by ScreenIT
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A wastewater-based epidemic model for SARS-CoV-2 with application to three Canadian cities
This article has 16 authors:Reviewed by ScreenIT