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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COVID-19 Infections and Clinical Outcomes in Patients with Multiple Myeloma in New York City: A Cohort Study from Five Academic Centers
This article has 30 authors:Reviewed by ScreenIT
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Assessment of Preventative Measures Practice among Umrah Pilgrims in Saudi Arabia, 1440H-2019
This article has 7 authors:Reviewed by ScreenIT
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IgA dominates the early neutralizing antibody response to SARS-CoV-2
This article has 27 authors:Reviewed by ScreenIT
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Plasma From Recovered COVID-19 Patients Inhibits Spike Protein Binding to ACE2 in a Microsphere-Based Inhibition Assay
This article has 9 authors:Reviewed by ScreenIT
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Mathematical estimation of COVID-19 prevalence in Latin America
This article has 5 authors:Reviewed by ScreenIT
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TMPRSS2 variants and their susceptibility to COVID-19: focus in East Asian and European populations
This article has 16 authors:Reviewed by ScreenIT
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Quantitative PCR for cannabis flower containing SARs-CoV-2
This article has 3 authors:Reviewed by ScreenIT
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Modeling the structure of the frameshift stimulatory pseudoknot in SARS-CoV-2 reveals multiple possible conformers
This article has 6 authors:Reviewed by ScreenIT
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Levels of Severity of Depressive Symptoms Among At-Risk Groups in the UK During the COVID-19 Pandemic
This article has 4 authors:Reviewed by ScreenIT
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Excess deaths in people with cardiovascular diseases during the COVID-19 pandemic
This article has 29 authors:Reviewed by ScreenIT