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Webulous and the Webulous Google Add-On - a web service and application for ontology building from templates

Overview of attention for article published in Journal of Biomedical Semantics, April 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#16 of 363)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
twitter
14 X users
googleplus
1 Google+ user

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
29 Mendeley
citeulike
4 CiteULike
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Title
Webulous and the Webulous Google Add-On - a web service and application for ontology building from templates
Published in
Journal of Biomedical Semantics, April 2016
DOI 10.1186/s13326-016-0055-3
Pubmed ID
Authors

Simon Jupp, Tony Burdett, Danielle Welter, Sirarat Sarntivijai, Helen Parkinson, James Malone

Abstract

Authoring bio-ontologies is a task that has traditionally been undertaken by skilled experts trained in understanding complex languages such as the Web Ontology Language (OWL), in tools designed for such experts. As requests for new terms are made, the need for expert ontologists represents a bottleneck in the development process. Furthermore, the ability to rigorously enforce ontology design patterns in large, collaboratively developed ontologies is difficult with existing ontology authoring software. We present Webulous, an application suite for supporting ontology creation by design patterns. Webulous provides infrastructure to specify templates for populating ontology design patterns that get transformed into OWL assertions in a target ontology. Webulous provides programmatic access to the template server and a client application has been developed for Google Sheets that allows templates to be loaded, populated and resubmitted to the Webulous server for processing. The development and delivery of ontologies to the community requires software support that goes beyond the ontology editor. Building ontologies by design patterns and providing simple mechanisms for the addition of new content helps reduce the overall cost and effort required to develop an ontology. The Webulous system provides support for this process and is used as part of the development of several ontologies at the European Bioinformatics Institute.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 7%
Netherlands 1 3%
Canada 1 3%
Unknown 25 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 31%
Student > Ph. D. Student 5 17%
Student > Bachelor 4 14%
Student > Master 4 14%
Lecturer 2 7%
Other 4 14%
Unknown 1 3%
Readers by discipline Count As %
Computer Science 10 34%
Agricultural and Biological Sciences 9 31%
Business, Management and Accounting 1 3%
Linguistics 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 3 10%
Unknown 4 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 03 October 2016.
All research outputs
#2,018,773
of 24,312,464 outputs
Outputs from Journal of Biomedical Semantics
#16
of 363 outputs
Outputs of similar age
#33,483
of 304,750 outputs
Outputs of similar age from Journal of Biomedical Semantics
#2
of 14 outputs
Altmetric has tracked 24,312,464 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 363 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 95% 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 304,750 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.