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The Orthology Ontology: development and applications

Overview of attention for article published in Journal of Biomedical Semantics, June 2016
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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Title
The Orthology Ontology: development and applications
Published in
Journal of Biomedical Semantics, June 2016
DOI 10.1186/s13326-016-0077-x
Pubmed ID
Authors

Jesualdo Tomás Fernández-Breis, Hirokazu Chiba, María del Carmen Legaz-García, Ikuo Uchiyama

Abstract

Computational comparative analysis of multiple genomes provides valuable opportunities to biomedical research. In particular, orthology analysis can play a central role in comparative genomics; it guides establishing evolutionary relations among genes of organisms and allows functional inference of gene products. However, the wide variations in current orthology databases necessitate the research toward the shareability of the content that is generated by different tools and stored in different structures. Exchanging the content with other research communities requires making the meaning of the content explicit. The need for a common ontology has led to the creation of the Orthology Ontology (ORTH) following the best practices in ontology construction. Here, we describe our model and major entities of the ontology that is implemented in the Web Ontology Language (OWL), followed by the assessment of the quality of the ontology and the application of the ORTH to existing orthology datasets. This shareable ontology enables the possibility to develop Linked Orthology Datasets and a meta-predictor of orthology through standardization for the representation of orthology databases. The ORTH is freely available in OWL format to all users at http://purl.org/net/orth . The Orthology Ontology can serve as a framework for the semantic standardization of orthology content and it will contribute to a better exploitation of orthology resources in biomedical research. The results demonstrate the feasibility of developing shareable datasets using this ontology. Further applications will maximize the usefulness of this ontology.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 27%
Researcher 6 20%
Student > Ph. D. Student 6 20%
Student > Bachelor 5 17%
Professor > Associate Professor 2 7%
Other 3 10%
Readers by discipline Count As %
Computer Science 11 37%
Biochemistry, Genetics and Molecular Biology 10 33%
Agricultural and Biological Sciences 7 23%
Environmental Science 1 3%
Engineering 1 3%
Other 0 0%
Attention Score in Context

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 17 June 2016.
All research outputs
#7,383,883
of 22,876,619 outputs
Outputs from Journal of Biomedical Semantics
#144
of 364 outputs
Outputs of similar age
#119,388
of 339,398 outputs
Outputs of similar age from Journal of Biomedical Semantics
#6
of 22 outputs
Altmetric has tracked 22,876,619 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 364 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 60% 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 339,398 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 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.