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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High-Throughput Adaptable SARS-CoV-2 Screening for Rapid Identification of Dominant and Emerging Regional Variants
This article has 10 authors:Reviewed by ScreenIT
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Ensemble forecast of COVID-19 in Karnataka for vulnerability assessment and policy interventions
This article has 5 authors:Reviewed by ScreenIT
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Predicting transitions between longitudinal classes of post-traumatic stress disorder, adjustment disorder and well-being during the COVID-19 pandemic: protocol of a latent transition model in a general Dutch sample
This article has 8 authors:Reviewed by ScreenIT
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Nanobody-Functionalized Cellulose for Capturing SARS-CoV-2
This article has 8 authors:Reviewed by ScreenIT
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Distinct neutralizing kinetics and magnitudes elicited by different SARS-CoV-2 variant spikes
This article has 7 authors:Reviewed by ScreenIT
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Multifaceted Assessment of Wastewater-Based Epidemiology for SARS-CoV-2 in Selected Urban Communities in Davao City, Philippines: A Pilot Study
This article has 15 authors:Reviewed by ScreenIT
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Effectiveness of COVID-19 Vaccines Against SARS-CoV-2 Infection During a Delta Variant Epidemic Surge in Multnomah County, Oregon, July 2021
This article has 3 authors:Reviewed by ScreenIT
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Optimization of Single-Dose VSV-Based COVID-19 Vaccination in Hamsters
This article has 9 authors:Reviewed by ScreenIT
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Optimal COVID-19 testing strategy on limited resources
This article has 3 authors:Reviewed by ScreenIT
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Absence of severe COVID-19 in patients with clonal mast cells activation disorders: effective anti-SARS-CoV-2 immune response
This article has 51 authors:Reviewed by ScreenIT