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OTO: Ontology Term Organizer

Overview of attention for article published in BMC Bioinformatics, February 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

6 tweeters


9 Dimensions

Readers on

38 Mendeley
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OTO: Ontology Term Organizer
Published in
BMC Bioinformatics, February 2015
DOI 10.1186/s12859-015-0488-1
Pubmed ID

Fengqiong Huang, James A Macklin, Hong Cui, Heather A Cole, Lorena Endara


The need to create controlled vocabularies such as ontologies for knowledge organization and access has been widely recognized in various domains. Despite the indispensable need of thorough domain knowledge in ontology construction, most software tools for ontology construction are designed for knowledge engineers and not for domain experts to use. The differences in the opinions of different domain experts and in the terminology usages in source literature are rarely addressed by existing software. OTO software was developed based on the Agile principles. Through iterations of software release and user feedback, new features are added and existing features modified to make the tool more intuitive and efficient to use for small and large data sets. The software is open source and built in Java. Ontology Term Organizer (OTO; http://biosemantics.arizona.edu/OTO/ ) is a user-friendly, web-based, consensus-promoting, open source application for organizing domain terms by dragging and dropping terms to appropriate locations. The application is designed for users with specific domain knowledge such as biology but not in-depth ontology construction skills. Specifically OTO can be used to establish is_a, part_of, synonym, and order relationships among terms in any domain that reflects the terminology usage in source literature and based on multiple experts' opinions. The organized terms may be fed into formal ontologies to boost their coverage. All datasets organized on OTO are publicly available. OTO has been used to organize the terms extracted from thirty volumes of Flora of North America and Flora of China combined, in addition to some smaller datasets of different taxon groups. User feedback indicates that the tool is efficient and user friendly. Being open source software, the application can be modified to fit varied term organization needs for different domains.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 5%
Spain 1 3%
United States 1 3%
Brazil 1 3%
Unknown 33 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Master 7 18%
Student > Bachelor 5 13%
Student > Ph. D. Student 3 8%
Student > Doctoral Student 2 5%
Other 10 26%
Unknown 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 37%
Computer Science 12 32%
Social Sciences 2 5%
Engineering 2 5%
Medicine and Dentistry 1 3%
Other 2 5%
Unknown 5 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 February 2015.
All research outputs
of 11,293,566 outputs
Outputs from BMC Bioinformatics
of 4,195 outputs
Outputs of similar age
of 266,622 outputs
Outputs of similar age from BMC Bioinformatics
of 141 outputs
Altmetric has tracked 11,293,566 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,195 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 52% 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 266,622 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 66% of its contemporaries.
We're also able to compare this research output to 141 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 60% of its contemporaries.