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Mendeley readers
Attention Score in Context
| Title |
Mapping between the OBO and OWL ontology languages
|
|---|---|
| Published in |
Journal of Biomedical Semantics, March 2011
|
| DOI | 10.1186/2041-1480-2-s1-s3 |
| Pubmed ID | |
| Authors |
Syed Hamid Tirmizi, Stuart Aitken, Dilvan A Moreira, Chris Mungall, Juan Sequeda, Nigam H Shah, Daniel P Miranker |
| Abstract |
Ontologies are commonly used in biomedicine to organize concepts to describe domains such as anatomies, environments, experiment, taxonomies etc. NCBO BioPortal currently hosts about 180 different biomedical ontologies. These ontologies have been mainly expressed in either the Open Biomedical Ontology (OBO) format or the Web Ontology Language (OWL). OBO emerged from the Gene Ontology, and supports most of the biomedical ontology content. In comparison, OWL is a Semantic Web language, and is supported by the World Wide Web consortium together with integral query languages, rule languages and distributed infrastructure for information interchange. These features are highly desirable for the OBO content as well. A convenient method for leveraging these features for OBO ontologies is by transforming OBO ontologies to OWL. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Brazil | 3 | 3% |
| Portugal | 2 | 2% |
| Sweden | 2 | 2% |
| United Kingdom | 2 | 2% |
| Hong Kong | 1 | 1% |
| France | 1 | 1% |
| Mexico | 1 | 1% |
| Luxembourg | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 72 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 22% |
| Student > Ph. D. Student | 17 | 19% |
| Student > Master | 10 | 11% |
| Other | 9 | 10% |
| Professor > Associate Professor | 7 | 8% |
| Other | 22 | 25% |
| Unknown | 4 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 34 | 39% |
| Agricultural and Biological Sciences | 26 | 30% |
| Chemistry | 4 | 5% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Engineering | 3 | 3% |
| Other | 11 | 13% |
| Unknown | 7 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 08 May 2020.
All research outputs
#7,959,659
of 25,371,288 outputs
Outputs from Journal of Biomedical Semantics
#140
of 368 outputs
Outputs of similar age
#41,375
of 119,878 outputs
Outputs of similar age from Journal of Biomedical Semantics
#2
of 4 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 368 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 59% of its peers.
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 119,878 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.