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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SARS-CoV-2 variant of concern type and biological sex affect efficacy of molnupiravir in dwarf hamster model of severe COVID-19
This article has 12 authors:Reviewed by ScreenIT
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Changes in the number of public health nurses employed in local governments in Japan during the Covid-19 pandemic: A cross-sectional study
This article has 3 authors:Reviewed by ScreenIT
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Comparative analysis of cell–cell communication at single-cell resolution
This article has 4 authors:Reviewed by ScreenIT
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SARS-CoV-2 mRNA vaccinations fail to elicit humoral and cellular immune responses in patients with multiple sclerosis receiving fingolimod
This article has 25 authors:Reviewed by ScreenIT
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Estimating the risk reduction of isolation on COVID-19 non-household transmission and severe/critical illness in non-immune individuals: September to November 2021
This article has 3 authors:Reviewed by ScreenIT
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Cross-Sectional Study of University Students’ Attitudes to ‘On Campus’ Delivery of COVID-19, MenACWY and MMR Vaccines and Future-Proofing Vaccine Roll-Out Strategies
This article has 9 authors:Reviewed by ScreenIT
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Characteristics and Preparedness for COVID-19 Outbreaks of Australian Residential Aged Care Facilities: a Cross-sectional Survey
This article has 5 authors:Reviewed by ScreenIT
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Use of social media platforms by migrant and ethnic minority populations during the COVID-19 pandemic: a systematic review
This article has 12 authors:Reviewed by ScreenIT
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Integrating single-cell sequencing data with GWAS summary statistics reveals CD16+monocytes and memory CD8+T cells involved in severe COVID-19
This article has 13 authors:Reviewed by ScreenIT
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COVID-19 outbreaks in Australia during a period of high epidemic control, 2020
This article has 12 authors:Reviewed by ScreenIT