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OnEX: Exploring changes in life science ontologies

Overview of attention for article published in BMC Bioinformatics, August 2009
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Mentioned by

twitter
1 tweeter

Citations

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21 Dimensions

Readers on

mendeley
44 Mendeley
citeulike
8 CiteULike
connotea
5 Connotea
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Title
OnEX: Exploring changes in life science ontologies
Published in
BMC Bioinformatics, August 2009
DOI 10.1186/1471-2105-10-250
Pubmed ID
Authors

Michael Hartung, Toralf Kirsten, Anika Gross, Erhard Rahm

Abstract

Numerous ontologies have recently been developed in life sciences to support a consistent annotation of biological objects, such as genes or proteins. These ontologies underlie continuous changes which can impact existing annotations. Therefore, it is valuable for users of ontologies to study the stability of ontologies and to see how many and what kind of ontology changes occurred.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 14%
Brazil 2 5%
Germany 2 5%
Sweden 1 2%
United Kingdom 1 2%
France 1 2%
Unknown 31 70%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 39%
Student > Bachelor 5 11%
Student > Master 5 11%
Student > Ph. D. Student 4 9%
Professor > Associate Professor 3 7%
Other 7 16%
Unknown 3 7%
Readers by discipline Count As %
Computer Science 16 36%
Agricultural and Biological Sciences 15 34%
Engineering 3 7%
Biochemistry, Genetics and Molecular Biology 3 7%
Medicine and Dentistry 1 2%
Other 3 7%
Unknown 3 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 30 November 2012.
All research outputs
#3,081,390
of 4,507,072 outputs
Outputs from BMC Bioinformatics
#2,183
of 2,646 outputs
Outputs of similar age
#191,719
of 280,183 outputs
Outputs of similar age from BMC Bioinformatics
#90
of 113 outputs
Altmetric has tracked 4,507,072 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,646 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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 280,183 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.