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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COVID-19 vaccines effectiveness against symptomatic SARS-CoV-2 during Delta variant surge: a preliminary assessment from a case-control study in St. Petersburg, Russia
This article has 9 authors:Reviewed by ScreenIT
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A qualitative study exploring the impact of the COVID-19 pandemic on People Who Inject Drugs (PWID) and drug service provision in the UK: PWID and service provider perspectives
This article has 4 authors:Reviewed by ScreenIT
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Evidence on the role of journal editors in the COVID19 infodemic: metascientific study analyzing COVID19 publication rates and patterns
This article has 11 authors:Reviewed by ScreenIT
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T cell response to intact SARS-CoV-2 includes coronavirus cross-reactive and variant-specific components
This article has 18 authors:Reviewed by ScreenIT
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Comparison between mid-nasal swabs and buccal swabs for SARS-CoV-2 detection in mild COVID-19 patients
This article has 13 authors:Reviewed by ScreenIT
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Effectiveness of Pfizer-BioNTech Vaccine Against COVID-19 Associated Hospitalizations among Lebanese Adults ≥75 years- Lebanon, April-May 2021
This article has 6 authors:Reviewed by ScreenIT
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Modelling preventive measures and their effect on generation times in emerging epidemics
This article has 3 authors:Reviewed by ScreenIT
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A NOVEL METHOD FOR HANDLING PRE-EXISTING CONDITIONS IN PREDICTION MODELS FOR COVID-19 DEATH
This article has 5 authors:Reviewed by ScreenIT
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Systemic Adverse Effects Induced by the BNT162b2 Vaccine Are Associated with Higher Antibody Titers from 3 to 6 Months after Vaccination
This article has 10 authors:Reviewed by ScreenIT
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Post-COVID-19 memory complaints: Prevalence and associated factors
This article has 7 authors:Reviewed by ScreenIT