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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Excess years of life lost to COVID-19 and other causes of death by sex, neighbourhood deprivation, and region in England and Wales during 2020: A registry-based study
This article has 17 authors:Reviewed by ScreenIT
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The risk of severe COVID-19 and mortality from COVID-19 in people living with HIV compared to individuals without HIV - a systematic review and meta-analysis of 1 268 676 individuals
This article has 7 authors:Reviewed by ScreenIT
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Automated lung sound analysis using the LungPass platform: a sensitive and specific tool for identifying lower respiratory tract involvement in COVID-19
This article has 15 authors:Reviewed by ScreenIT
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TEG®, Microclot and Platelet Mapping for Guiding Early Management of Severe COVID-19 Coagulopathy
This article has 5 authors:Reviewed by ScreenIT
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Receptor-binding domain recombinant protein on alum-CpG induces broad protection against SARS-CoV-2 variants of concern
This article has 22 authors:Reviewed by ScreenIT
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Three-step rhythmic breathing exercise and COVID-19: A cross-sectional study
This article has 3 authors:Reviewed by ScreenIT
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Sex-specific epidemiological and clinical characteristics of Covid-19 patients in the southeast region of Bangladesh
This article has 17 authors:Reviewed by ScreenIT
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Generation of False-Positive SARS-CoV-2 Antigen Results with Testing Conditions outside Manufacturer Recommendations: A Scientific Approach to Pandemic Misinformation
This article has 13 authors:Reviewed by ScreenIT
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High Prevalence of Both Previous Infection with SARS-CoV-2 and Persistent Symptoms
This article has 9 authors:Reviewed by ScreenIT
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Structure of a germline-like human antibody defines a neutralizing epitope on the SARS-CoV-2 spike NTD
This article has 9 authors:Reviewed by ScreenIT