ScreenIT
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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Resource Profile: The Regenstrief Institute COVID-19 Research Data Commons (CoRDaCo)
This article has 14 authors:Reviewed by ScreenIT
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Knowledge, Attitude and Practices towards COVID 19 pandemic among homeless street young adults in Lusaka, Zambia – A Mixed Methods Approach
This article has 4 authors:Reviewed by ScreenIT
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Genomic epidemiological models describe pathogen evolution across fitness valleys
This article has 3 authors:Reviewed by ScreenIT
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Safety profile of COVID-19 vaccines in pregnant and postpartum women in brazil
This article has 8 authors:Reviewed by ScreenIT
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Predictors of SARS-CoV-2 infection in a multi-ethnic cohort of United Kingdom healthcare workers: a prospective nationwide cohort study (UK-REACH)
This article has 24 authors:Reviewed by ScreenIT
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Vaccines provide disproportional protection to the increased hospitalisation risk posed by the Delta variant of SARS-CoV2: a meta-analysis
This article has 1 author:Reviewed by ScreenIT
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Predictors of uncertainty and unwillingness to receive the COVID-19 booster vaccine: An observational study of 22,139 fully vaccinated adults in the UK
This article has 2 authors:Reviewed by ScreenIT
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COVID-19 Return to Sport: NFL Injury Prevalence Analysis
This article has 4 authors:Reviewed by ScreenIT
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A machine learning-based approach to determine infection status in recipients of BBV152 whole virion inactivated SARS-CoV-2 vaccine for serological surveys
This article has 144 authors:Reviewed by ScreenIT
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Prolonged Detection of SARS CoV2 RNA in Extracellular Vesicles in Nasal Swab RT-PCR Negative Patients
This article has 7 authors:Reviewed by ScreenIT