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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Socioeconomic position and adverse childhood experiences as risk factors for health-related behaviour change and employment adversity during the COVID-19 pandemic: insights from a prospective cohort study in the UK
This article has 5 authors:Reviewed by ScreenIT
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Vaccination and three non-pharmaceutical interventions determine the dynamics of COVID-19 in the US
This article has 4 authors:Reviewed by ScreenIT
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Potential Contributors to Increased Pulmonary Embolism Hospitalizations During the COVID-19 Pandemic: Insights From the German-Wide Helios Hospital Network
This article has 9 authors:Reviewed by ScreenIT
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Seroconversion Following SARS-CoV-2 Infection or Vaccination in Pediatric IBD Patients
This article has 5 authors:Reviewed by ScreenIT
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Contact tracing indicators for COVID-19: Rapid scoping review and conceptual framework
This article has 10 authors:Reviewed by ScreenIT
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Population Decline in COPD Admissions During the COVID-19 Pandemic Associated with Lower Burden of Community Respiratory Viral Infections
This article has 13 authors:Reviewed by ScreenIT
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FOCUS: Forecasting COVID-19 in the United States
This article has 4 authors:Reviewed by ScreenIT
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Landscape-Based Mutational Sensitivity Cartography and Network Community Analysis of the SARS-CoV-2 Spike Protein Structures: Quantifying Functional Effects of the Circulating D614G Variant
This article has 4 authors:Reviewed by ScreenIT
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Mutation rate of SARS-CoV-2 and emergence of mutators during experimental evolution
This article has 10 authors:Reviewed by ScreenIT
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Single-dose AAV-based vaccine induces a high level of neutralizing antibodies against SARS-CoV-2 in rhesus macaques
This article has 35 authors:Reviewed by ScreenIT