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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UB-612, a Multitope Universal Vaccine Eliciting a Balanced B and T Cell Immunity against SARS-CoV-2 Variants of Concern
This article has 15 authors:Reviewed by ScreenIT
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Asymptomatic SARS-CoV-2 Infection by Age: A Global Systematic Review and Meta-analysis
This article has 10 authors:Reviewed by ScreenIT
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Longitudinal analyses of depression and anxiety highlight greater prevalence during COVID-19 lockdowns in the Dutch general population and a continuing increase in suicidal ideation in young adults
This article has 4 authors:Reviewed by ScreenIT
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Which innovations can improve timeliness of investigations and address the backlog in endoscopy for patients with potential symptoms of upper and lower Gastrointestinal (GI) cancers?
This article has 9 authors:Reviewed by ScreenIT
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SARS-CoV-2 Omicron subvariants evolved to promote further escape from MHC-I recognition
This article has 5 authors:Reviewed by ScreenIT
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Adsorption of pulmonary and exogeneous surfactants on SARS-CoV-2 spike protein
This article has 2 authors:Reviewed by ScreenIT
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Neutralisation sensitivity of SARS-CoV-2 omicron subvariants to therapeutic monoclonal antibodies
This article has 7 authors:Reviewed by ScreenIT
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Protection from Omicron and other VOCs by Bivalent S-Trimer COVID-19 Vaccine
This article has 15 authors:Reviewed by ScreenIT
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Accident and emergency (AE) attendance in England following infection with SARS-CoV-2 Omicron or Delta
This article has 33 authors:Reviewed by ScreenIT
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Spatiotemporal landscape of SARS-CoV-2 pulmonary infection reveals Slamf9 + Spp1 + macrophages promoting viral clearance and inflammation resolution
This article has 25 authors:Reviewed by ScreenIT