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The epidemiology ontology: an ontology for the semantic annotation of epidemiological resources

Overview of attention for article published in Journal of Biomedical Semantics, January 2014
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Title
The epidemiology ontology: an ontology for the semantic annotation of epidemiological resources
Published in
Journal of Biomedical Semantics, January 2014
DOI 10.1186/2041-1480-5-4
Pubmed ID
Authors

Catia Pesquita, João D Ferreira, Francisco M Couto, Mário J Silva

Abstract

Epidemiology is a data-intensive and multi-disciplinary subject, where data integration, curation and sharing are becoming increasingly relevant, given its global context and time constraints. The semantic annotation of epidemiology resources is a cornerstone to effectively support such activities. Although several ontologies cover some of the subdomains of epidemiology, we identified a lack of semantic resources for epidemiology-specific terms. This paper addresses this need by proposing the Epidemiology Ontology (EPO) and by describing its integration with other related ontologies into a semantic enabled platform for sharing epidemiology resources.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 3 5%
Australia 2 3%
United States 2 3%
Spain 1 2%
Mexico 1 2%
Unknown 54 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 22%
Student > Ph. D. Student 12 19%
Student > Master 8 13%
Student > Bachelor 4 6%
Professor 3 5%
Other 12 19%
Unknown 10 16%
Readers by discipline Count As %
Computer Science 19 30%
Agricultural and Biological Sciences 12 19%
Medicine and Dentistry 5 8%
Veterinary Science and Veterinary Medicine 3 5%
Social Sciences 3 5%
Other 10 16%
Unknown 11 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 February 2014.
All research outputs
#16,579,551
of 25,373,627 outputs
Outputs from Journal of Biomedical Semantics
#230
of 368 outputs
Outputs of similar age
#193,023
of 320,064 outputs
Outputs of similar age from Journal of Biomedical Semantics
#10
of 11 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 368 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 320,064 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.