↓ Skip to main content

Developing a semantically rich ontology for the biobank-administration domain

Overview of attention for article published in Journal of Biomedical Semantics, October 2013
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
47 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Developing a semantically rich ontology for the biobank-administration domain
Published in
Journal of Biomedical Semantics, October 2013
DOI 10.1186/2041-1480-4-23
Pubmed ID
Authors

Mathias Brochhausen, Martin N Fransson, Nitin V Kanaskar, Mikael Eriksson, Roxana Merino-Martinez, Roger A Hall, Loreana Norlin, Sanela Kjellqvist, Maria Hortlund, Umit Topaloglu, William R Hogan, Jan-Eric Litton

Abstract

Biobanks are a critical resource for translational science. Recently, semantic web technologies such as ontologies have been found useful in retrieving research data from biobanks. However, recent research has also shown that there is a lack of data about the administrative aspects of biobanks. These data would be helpful to answer research-relevant questions such as what is the scope of specimens collected in a biobank, what is the curation status of the specimens, and what is the contact information for curators of biobanks. Our use cases include giving researchers the ability to retrieve key administrative data (e.g. contact information, contact's affiliation, etc.) about the biobanks where specific specimens of interest are stored. Thus, our goal is to provide an ontology that represents the administrative entities in biobanking and their relations. We base our ontology development on a set of 53 data attributes called MIABIS, which were in part the result of semantic integration efforts of the European Biobanking and Biomolecular Resources Research Infrastructure (BBMRI). The previous work on MIABIS provided the domain analysis for our ontology. We report on a test of our ontology against competency questions that we derived from the initial BBMRI use cases. Future work includes additional ontology development to answer additional competency questions from these use cases.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 4%
Austria 1 2%
Brazil 1 2%
South Africa 1 2%
Mexico 1 2%
United States 1 2%
Unknown 40 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 38%
Other 5 11%
Student > Master 4 9%
Student > Bachelor 3 6%
Student > Doctoral Student 3 6%
Other 9 19%
Unknown 5 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 23%
Medicine and Dentistry 9 19%
Computer Science 8 17%
Biochemistry, Genetics and Molecular Biology 3 6%
Engineering 2 4%
Other 6 13%
Unknown 8 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 October 2013.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from Journal of Biomedical Semantics
#240
of 368 outputs
Outputs of similar age
#139,703
of 222,692 outputs
Outputs of similar age from Journal of Biomedical Semantics
#11
of 16 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% 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 21st percentile – i.e., 21% 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 222,692 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.