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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Selective visuoconstructional impairment following mild COVID-19 with inflammatory and neuroimaging correlation findings
This article has 26 authors:Reviewed by ScreenIT
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Humoral and cellular immune responses to CoronaVac up to one year after vaccination
This article has 17 authors:Reviewed by ScreenIT
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SARS-CoV-2 Virus Dynamics in Recently Infected People—Data From a Household Transmission Study
This article has 14 authors:Reviewed by ScreenIT
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Serological Responses to the First Three Doses of SARS-CoV-2 Vaccination in Inflammatory Bowel Disease: A Prospective Cohort Study
This article has 19 authors:Reviewed by ScreenIT
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Characteristics of mental health stability during COVID-19: An online survey with people residing in a city region of the North West of England
This article has 12 authors:Reviewed by ScreenIT
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Effectiveness of Whole-Virus COVID-19 Vaccine among Healthcare Personnel, Lima, Peru
This article has 15 authors:Reviewed by ScreenIT
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Cytokine and chemokine profile in patients hospitalized with COVID-19: A comparative study
This article has 7 authors:Reviewed by ScreenIT
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Resilience of S309 and AZD7442 monoclonal antibody treatments against infection by SARS-CoV-2 Omicron lineage strains
This article has 25 authors:Reviewed by ScreenIT
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Potent and specific human monoclonal antibodies against SARS-CoV-2 Omicron variant by rapid mRNA immunization of humanized mice
This article has 12 authors:Reviewed by ScreenIT
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Comparison of the 2021 COVID-19 roadmap projections against public health data in England
This article has 5 authors:Reviewed by ScreenIT