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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Evolution of COVID-19 Health Disparities in Arizona
This article has 8 authors:Reviewed by ScreenIT
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Detection of the omicron variant in international travellers and their family contacts in India
This article has 15 authors:Reviewed by ScreenIT
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Immunogenicity and reactogenicity of an inactivated SARS-CoV-2 vaccine (BBV152) in children aged 2–18 years: interim data from an open-label, non-randomised, age de-escalation phase 2/3 study
This article has 14 authors:Reviewed by ScreenIT
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Soluble Immune Checkpoints Are Dysregulated in COVID-19 and Heavy Alcohol Users With HIV Infection
This article has 13 authors:Reviewed by ScreenIT
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Relationship between temperature and relative humidity on initial spread of COVID-19 cases and related deaths in Brazil
This article has 6 authors:Reviewed by ScreenIT
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SARS-CoV-2 infection and vaccination trigger long-lived B and CD4+ T lymphocytes with implications for booster strategies
This article has 21 authors:Reviewed by ScreenIT
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Quantitation of SARS-CoV-2 neutralizing antibodies with a virus-free, authentic test
This article has 13 authors:Reviewed by ScreenIT
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Divergent SARS-CoV-2 Omicron–reactive T and B cell responses in COVID-19 vaccine recipients
This article has 24 authors:Reviewed by ScreenIT
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Method versatility in RNA extraction-free PCR detection of SARS-CoV-2 in saliva samples
This article has 10 authors:Reviewed by ScreenIT
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Immunomodulation by intravenous omega‐3 fatty acid treatment in older subjects hospitalized for COVID‐19: A single‐blind randomized controlled trial
This article has 8 authors:Reviewed by ScreenIT