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Towards improving phenotype representation in OWL

Overview of attention for article published in Journal of Biomedical Semantics, September 2012
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1 tweeter

Citations

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5 Dimensions

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22 Mendeley
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Title
Towards improving phenotype representation in OWL
Published in
Journal of Biomedical Semantics, September 2012
DOI 10.1186/2041-1480-3-s2-s5
Pubmed ID
Authors

Frank Loebe, Frank Stumpf, Robert Hoehndorf, Heinrich Herre, Loebe F, Stumpf F, Hoehndorf R, Herre H

Abstract

Phenotype ontologies are used in species-specific databases for the annotation of mutagenesis experiments and to characterize human diseases. The Entity-Quality (EQ) formalism is a means to describe complex phenotypes based on one or more affected entities and a quality. EQ-based definitions have been developed for many phenotype ontologies, including the Human and Mammalian Phenotype ontologies.

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

Geographical breakdown

Country Count As %
United States 2 9%
Brazil 1 5%
Unknown 19 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 32%
Researcher 7 32%
Student > Master 3 14%
Other 1 5%
Professor 1 5%
Other 2 9%
Unknown 1 5%
Readers by discipline Count As %
Computer Science 7 32%
Engineering 3 14%
Agricultural and Biological Sciences 3 14%
Medicine and Dentistry 3 14%
Physics and Astronomy 1 5%
Other 1 5%
Unknown 4 18%

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 20 October 2012.
All research outputs
#13,978,796
of 17,520,445 outputs
Outputs from Journal of Biomedical Semantics
#293
of 358 outputs
Outputs of similar age
#105,087
of 143,418 outputs
Outputs of similar age from Journal of Biomedical Semantics
#13
of 15 outputs
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So far Altmetric has tracked 358 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 5th percentile – i.e., 5% 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 143,418 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.