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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Early detection of superspreaders by mass group pool testing can mitigate COVID-19 pandemic
This article has 1 author:Reviewed by ScreenIT
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Genes with 5′ terminal oligopyrimidine tracts preferentially escape global suppression of translation by the SARS-CoV-2 Nsp1 protein
This article has 7 authors:Reviewed by ScreenIT
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Epidemiological modelling of the health and economic effects of COVID-19 control in Australia’s second wave
This article has 5 authors:Reviewed by ScreenIT
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Inequality indices to monitor geographic differences in incidence, mortality and fatality rates over time during the COVID-19 pandemic
This article has 2 authors:Reviewed by ScreenIT
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Sex differences in immune responses that underlie COVID-19 disease outcomes
This article has 99 authors:Reviewed by ScreenIT
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Serological Cytokine and chemokine profile in pregnant women with COVID19 in Mexico City
This article has 21 authors:Reviewed by ScreenIT
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Hydroxychloroquine in patients with mainly mild to moderate coronavirus disease 2019: open label, randomised controlled trial
This article has 24 authors:Reviewed by ScreenIT
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The implications of religious event and holidays on the transmission of SARS-CoV2 : the impact of behavioral changes on transmission
This article has 4 authors:Reviewed by ScreenIT
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High affinity nanobodies block SARS-CoV-2 spike receptor binding domain interaction with human angiotensin converting enzyme
This article has 5 authors:Reviewed by ScreenIT
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Clinical Assessment and Validation of a Rapid and Sensitive SARS-CoV-2 Test Using Reverse Transcription Loop-Mediated Isothermal Amplification Without the Need for RNA Extraction
This article has 9 authors:Reviewed by ScreenIT