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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The Spike D614G mutation increases SARS-CoV-2 infection of multiple human cell types
This article has 7 authors:Reviewed by ScreenIT
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Persistent post-discharge symptoms after COVID-19 in rheumatic and musculoskeletal diseases
This article has 11 authors:Reviewed by ScreenIT
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Validation of a single-step, single-tube reverse transcription loop-mediated isothermal amplification assay for rapid detection of SARS-CoV-2 RNA
This article has 28 authors:Reviewed by ScreenIT
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CVnCoV and CV2CoV protect human ACE2 transgenic mice from ancestral B BavPat1 and emerging B.1.351 SARS-CoV-2
This article has 23 authors:Reviewed by ScreenIT
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Cryo-electron Microscopy Structure of the Swine Acute Diarrhea Syndrome Coronavirus Spike Glycoprotein Provides Insights into Evolution of Unique Coronavirus Spike Proteins
This article has 10 authors:Reviewed by ScreenIT
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The impact of viral transport media on PCR assay results for the detection of nucleic acid from SARS-CoV-2
This article has 2 authors:Reviewed by ScreenIT
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Post-acute COVID-19 sequelae in cases managed in the community or hospital in the UK: a population based study
This article has 9 authors:Reviewed by ScreenIT
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COVID-19 vaccine hesitancy January-May 2021 among 18–64 year old US adults by employment and occupation
This article has 4 authors:Reviewed by ScreenIT
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Comparison of post-COVID depression and major depressive disorder
This article has 7 authors:Reviewed by ScreenIT
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Safety of administering biologics to IBD patients at an outpatient infusion center In New York City during the COVID-19 pandemic: Sars-CoV-2 seroprevalence and clinical and social characteristics
This article has 14 authors:Reviewed by ScreenIT