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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Multifactorial seroprofiling dissects the contribution of pre-existing human coronaviruses responses to SARS-CoV-2 immunity
This article has 31 authors:Reviewed by ScreenIT
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Real World Effectiveness of COVID-19 mRNA Vaccines against Hospitalizations and Deaths in the United States
This article has 8 authors:Reviewed by ScreenIT
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Alzheimer’s-like remodeling of neuronal ryanodine receptor in COVID-19
This article has 5 authors:Reviewed by ScreenIT
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Evaluation of serological tests for detecting SARS-CoV-2 antibodies: implementation in assessing post vaccination status
This article has 6 authors:Reviewed by ScreenIT
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Changes in English NHS outpatient activity during the early Covid-19 period
This article has 3 authors:Reviewed by ScreenIT
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Association Between COVID-19 Exposure and Self-reported Compliance With Public Health Guidelines Among Essential Employees at an Institution of Higher Education in the US
This article has 18 authors:Reviewed by ScreenIT
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Genomic surveillance of SARS-CoV-2 tracks early interstate transmission of P.1 lineage and diversification within P.2 clade in Brazil
This article has 22 authors:Reviewed by ScreenIT
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Cytotoxicity Evaluation of Chloroquine and Hydroxychloroquine in Multiple Cell Lines and Tissues by Dynamic Imaging System and Physiologically Based Pharmacokinetic Model
This article has 12 authors:Reviewed by ScreenIT
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A Machine Learning Approach for Mortality Prediction in COVID-19 Pneumonia: Development and Evaluation of the Piacenza Score
This article has 20 authors:Reviewed by ScreenIT
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Immunogenicity and Safety of a 3-Dose Regimen of a SARS-CoV-2 Inactivated Vaccine in Adults: A Randomized, Double-Blind, Placebo-Controlled Phase 2 Trial
This article has 15 authors:Reviewed by ScreenIT