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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Developing a COVID-19 mortality risk prediction model when individual-level data are not available
This article has 15 authors:Reviewed by ScreenIT
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Dataset on the COVID-19 Pandemic Situation in Tunisia with Application to SIR Model
This article has 5 authors:Reviewed by ScreenIT
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Heparin-induced thrombocytopenia is associated with a high risk of mortality in critical COVID-19 patients receiving heparin-involved treatment
This article has 18 authors:Reviewed by ScreenIT
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Displacement ventilation: a viable ventilation strategy for makeshift hospitals and public buildings to contain COVID-19 and other airborne diseases
This article has 2 authors:Reviewed by ScreenIT
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Evaluation of WHO listed COVID-19 qPCR primers and probe in silico with 375 SERS-CoV-2 full genome sequences
This article has 3 authors:Reviewed by ScreenIT
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Incubation period of COVID-19: a rapid systematic review and meta-analysis of observational research
This article has 14 authors:Reviewed by ScreenIT
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Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation
This article has 48 authors:Reviewed by ScreenIT
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New York City COVID-19 resident physician exposure during exponential phase of pandemic
This article has 9 authors:Reviewed by ScreenIT
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Potential Role of Personal Protective Equipment Use in the Protection Against COVID-19 Infection Among Health Care Workers
This article has 13 authors:Reviewed by ScreenIT
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Untangling factors associated with country-specific COVID-19 incidence, mortality and case fatality rates during the first quarter of 2020
This article has 1 author:Reviewed by ScreenIT