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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Assessing anti‐SARS‐CoV‐2 cellular immunity in 571 vaccines by using an IFN‐γ release assay
This article has 21 authors:Reviewed by ScreenIT
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The Omicron variant mutation at position 28,311 in the SARS-CoV-2 N gene does not perturb CDC N1 target detection
This article has 5 authors:Reviewed by ScreenIT
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Persistence of Immune Response in Health Care Workers After Two Doses BNT162b2 in a Longitudinal Observational Study
This article has 9 authors:Reviewed by ScreenIT
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A reliable and valid measure of COVID-19 patient-reported symptoms in outpatients: the Symptoms Evolution of COVID-19 (SE-C19) instrument
This article has 9 authors:Reviewed by ScreenIT
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Reductions in hospital care among clinically vulnerable children aged 0–4 years during the COVID-19 pandemic
This article has 6 authors:Reviewed by ScreenIT
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A Competing Risk Analysis of Early COVID-19 Treatments
This article has 9 authors:Reviewed by ScreenIT
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Acute COVID-19 severity and mental health morbidity trajectories in patient populations of six nations: an observational study
This article has 72 authors:Reviewed by ScreenIT
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Patients' experiences of, and engagement with, remote home monitoring services for COVID‐19 patients: A rapid mixed‐methods study
This article has 11 authors:Reviewed by ScreenIT
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Comparative Evaluation of Rapid Isothermal Amplification and Antigen Assays for Screening Testing of SARS-CoV-2
This article has 4 authors:Reviewed by ScreenIT
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SARS-CoV-2 lineage dynamics in England from September to November 2021: high diversity of Delta sub-lineages and increased transmissibility of AY.4.2
This article has 649 authors:Reviewed by ScreenIT