Big Questions for “Big Data”
Copyright policy ) Deborah J. Williams; Robert L. Wears; Robert L. Wears;
Big Questions for “Big Data”
Annals of Emergency Medicine - In Press.Proof corrected by the author Available online since mardi 20 octobre 2015
- Imperial College London United Kingdom
- University of Florida United States
Emergency Medical Services, Humans, Emergency Service, Hospital, Risk Assessment, Medical Informatics
Emergency Medical Services, Humans, Emergency Service, Hospital, Risk Assessment, Medical Informatics
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).10 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 10
Top 10%
Top 10%
Top 10%
This action will publish the selected files and record in Zenodo. Are you sure you want to proceed?