↓ Skip to main content

Survey-based naming conventions for use in OBO Foundry ontology development

Overview of attention for article published in BMC Bioinformatics, April 2009
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
2 blogs
twitter
1 X user
facebook
2 Facebook pages
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
96 Mendeley
citeulike
8 CiteULike
connotea
2 Connotea
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
Survey-based naming conventions for use in OBO Foundry ontology development
Published in
BMC Bioinformatics, April 2009
DOI 10.1186/1471-2105-10-125
Pubmed ID
Authors

Daniel Schober, Barry Smith, Suzanna E Lewis, Waclaw Kusnierczyk, Jane Lomax, Chris Mungall, Chris F Taylor, Philippe Rocca-Serra, Susanna-Assunta Sansone

Abstract

A wide variety of ontologies relevant to the biological and medical domains are available through the OBO Foundry portal, and their number is growing rapidly. Integration of these ontologies, while requiring considerable effort, is extremely desirable. However, heterogeneities in format and style pose serious obstacles to such integration. In particular, inconsistencies in naming conventions can impair the readability and navigability of ontology class hierarchies, and hinder their alignment and integration. While other sources of diversity are tremendously complex and challenging, agreeing a set of common naming conventions is an achievable goal, particularly if those conventions are based on lessons drawn from pooled practical experience and surveys of community opinion.

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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 10%
United Kingdom 4 4%
Germany 3 3%
Switzerland 1 1%
France 1 1%
Canada 1 1%
Portugal 1 1%
Japan 1 1%
New Zealand 1 1%
Other 0 0%
Unknown 73 76%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 33%
Student > Ph. D. Student 18 19%
Student > Master 13 14%
Professor > Associate Professor 5 5%
Other 4 4%
Other 12 13%
Unknown 12 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 38%
Computer Science 20 21%
Medicine and Dentistry 6 6%
Engineering 4 4%
Social Sciences 3 3%
Other 13 14%
Unknown 14 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 24 July 2017.
All research outputs
#1,719,788
of 22,655,397 outputs
Outputs from BMC Bioinformatics
#398
of 7,236 outputs
Outputs of similar age
#5,191
of 93,092 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 33 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,236 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 94% 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 93,092 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 33 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 93% of its contemporaries.