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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Performance of Repeat BinaxNOW Severe Acute Respiratory Syndrome Coronavirus 2 Antigen Testing in a Community Setting, Wisconsin, November 2020–December 2020
This article has 32 authors:Reviewed by ScreenIT
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COVID-19 Risk Assessment for the Tokyo Olympic Games
This article has 8 authors:Reviewed by ScreenIT
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Evaluation of accuracy, exclusivity, limit-of-detection and ease-of-use of LumiraDx™: An antigen-detecting point-of-care device for SARS-CoV-2
This article has 54 authors:Reviewed by ScreenIT
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The impact of face masks on performance and physiological outcomes during exercise: a systematic review and meta-analysis
This article has 6 authors:Reviewed by ScreenIT
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Proteome-wide Mendelian randomization identifies causal links between blood proteins and severe COVID-19
This article has 11 authors:Reviewed by ScreenIT
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Local emergence and decline of a SARS-CoV-2 variant with mutations L452R and N501Y in the spike protein
This article has 21 authors:Reviewed by ScreenIT
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‘You’re just there, alone in your room with your thoughts’: a qualitative study about the psychosocial impact of the COVID-19 pandemic among young people living in the UK
This article has 5 authors:Reviewed by ScreenIT
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Screening for SARS-CoV-2 infections in daycare facilities for children in a large city in Germany
This article has 14 authors:Reviewed by ScreenIT
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Endotracheal Application of Ultraviolet A Light in Critically Ill Patients with Severe Acute Respiratory Syndrome Coronavirus 2: A First-in-Human Study
This article has 10 authors:Reviewed by ScreenIT
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Topical TMPRSS2 inhibition prevents SARS-CoV-2 infection in differentiated human airway cultures
This article has 10 authors:Reviewed by ScreenIT