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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Change in Disease Dynamics and Health Care Utilisation in Children during COVID 19 in a Tertiary Care Hospital of Eastern India
This article has 5 authors:Reviewed by ScreenIT
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Self-assessment of COVID-19 vaccination efficacy using a lateral flow tests for SARS-CoV-2 S1 protein antibody
This article has 20 authors:Reviewed by ScreenIT
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Proxalutamide Reduction of Mortality Rate in Hospitalized COVID-19 Patients Depends on Treatment Duration – an Exploratory Analysis of the Proxa-Rescue AndroCoV Trial
This article has 18 authors:Reviewed by ScreenIT
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Genomic Epidemiology of SARS-CoV-2 in Pakistan
This article has 26 authors:Reviewed by ScreenIT
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Epidemiological data and genome sequencing reveals that nosocomial transmission of SARS-CoV-2 is underestimated and mostly mediated by a small number of highly infectious individuals
This article has 19 authors:Reviewed by ScreenIT
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A Systematic Review of Persistent Symptoms and Residual Abnormal Functioning following Acute COVID-19: Ongoing Symptomatic Phase vs. Post-COVID-19 Syndrome
This article has 5 authors:Reviewed by ScreenIT
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A systematic review: the dimensions to evaluate health care performance and an implication during the pandemic
This article has 6 authors:Reviewed by ScreenIT
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Betacoronavirus-specific alternate splicing
This article has 14 authors:Reviewed by ScreenIT
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Natural infection of SARS-CoV-2 delta variant in Asiatic lions ( Panthera leo persica ) in India
This article has 13 authors:Reviewed by ScreenIT
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Cellular and humoral immune responses following SARS-CoV-2 mRNA vaccination in patients with multiple sclerosis on anti-CD20 therapy
This article has 28 authors:Reviewed by ScreenIT