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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An umbrella review and meta-analysis of the use of renin-angiotensin system drugs and COVID-19 outcomes: what do we know so far?
This article has 3 authors:Reviewed by ScreenIT
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Evaluation of the Panbio COVID-19 Antigen Rapid Diagnostic Test in Subjects Infected with Omicron Using Different Specimens
This article has 18 authors:Reviewed by ScreenIT
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Genomic Epidemiology of SARS-CoV-2 in Seychelles, 2020–2021
This article has 37 authors:Reviewed by ScreenIT
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A 16-month longitudinal investigation of risk and protective factors for mental health outcomes throughout three national lockdowns and a mass vaccination campaign: Evidence from a weighted Israeli sample during COVID-19
This article has 12 authors:Reviewed by ScreenIT
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Robust and durable prophylactic protection conferred by RNA interference in preclinical models of SARS-CoV-2
This article has 35 authors:Reviewed by ScreenIT
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Stability and expression of SARS-CoV-2 spike-protein mutations
This article has 3 authors:Reviewed by ScreenIT
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Use of an extended KDIGO definition to diagnose acute kidney injury in patients with COVID-19: A multinational study using the ISARIC–WHO clinical characterisation protocol
This article has 22 authors:Reviewed by ScreenIT
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Humoral and cellular immune memory to four COVID-19 vaccines
This article has 18 authors:Reviewed by ScreenIT
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The Outcome of Gynecologic Cancer Patients With Covid-19 Infection: A Systematic Review And Meta-Analysis
This article has 5 authors:Reviewed by ScreenIT
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Multi-organ impairment and long COVID: a 1-year prospective, longitudinal cohort study
This article has 17 authors:Reviewed by ScreenIT