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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SARS-CoV-2 vaccines elicit durable immune responses in infant rhesus macaques
This article has 25 authors:Reviewed by ScreenIT
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Point-of-care lung ultrasonography for early identification of mild COVID-19: a prospective cohort of outpatients in a Swiss screening center
This article has 11 authors:Reviewed by ScreenIT
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Human immunoglobulin from transchromosomic bovines hyperimmunized with SARS-CoV-2 spike antigen efficiently neutralizes viral variants
This article has 10 authors:Reviewed by ScreenIT
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Rapid spread and high impact of the variant of concern P.1 in the largest city of Brazil
This article has 16 authors:Reviewed by ScreenIT
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The impact of COVID-19 on primary health care and antibiotic prescribing in rural China: qualitative study
This article has 7 authors:Reviewed by ScreenIT
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Wide Application of Minimally Processed Saliva on Multiple RT-qPCR Kits for SARS-CoV-2 Detection in Indonesia
This article has 10 authors:Reviewed by ScreenIT
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Examining Changes in Sleep Duration Associated with the Onset of the COVID-19 Pandemic: Who is Sleeping and Who is Not?
This article has 9 authors:Reviewed by ScreenIT
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Rapid Inactivation of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) by Tungsten Trioxide-Based (WO 3 ) Photocatalysis
This article has 5 authors:Reviewed by ScreenIT
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Characterization of the Second Wave of COVID-19 in India
This article has 3 authors:Reviewed by ScreenIT
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From SARS-CoV to Wuhan 2019-nCoV Outbreak: Similarity of Early Epidemic and Prediction of Future Trends
This article has 12 authors:Reviewed by ScreenIT