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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Willingness of Nigerian residents to disclose COVID-19 symptoms and take COVID-19 test
This article has 8 authors:Reviewed by ScreenIT
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Evaluation of a SARS-CoV-2 Surrogate Virus Neutralization Test for Detection of Antibody in Human, Canine, Cat, and Hamster Sera
This article has 19 authors:Reviewed by ScreenIT
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Availability and use of personal protective equipment and satisfaction of healthcare professionals during COVID-19 pandemic in Addis Ababa, Ethiopia
This article has 5 authors:Reviewed by ScreenIT
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SARS-CoV-2 surveillance in untreated wastewater: detection of viral RNA in a low-resource community in Buenos Aires, Argentina
This article has 10 authors:Reviewed by ScreenIT
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Quantitative Assessment of Chest CT Patterns in COVID-19 and Bacterial Pneumonia Patients: a Deep Learning Perspective
This article has 9 authors:Reviewed by ScreenIT
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Increased Plasma Heparanase Activity in COVID-19 Patients
This article has 19 authors:Reviewed by ScreenIT
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Rapid Utilization of Telehealth in a Comprehensive Cancer Center as a Response to COVID-19: Cross-Sectional Analysis
This article has 7 authors:Reviewed by ScreenIT
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Antibiotic Prescribing Patterns at COVID-19 Dedicated Wards in Bangladesh: Findings from a Single Center Study
This article has 14 authors:Reviewed by ScreenIT
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SARS-CoV-2 Causes a Different Cytokine Response Compared to Other Cytokine Storm-Causing Respiratory Viruses in Severely Ill Patients
This article has 8 authors:Reviewed by ScreenIT
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Association of Red Blood Cell Distribution Width With Mortality Risk in Hospitalized Adults With SARS-CoV-2 Infection
This article has 10 authors:Reviewed by ScreenIT