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Enhanced XAO: the ontology of Xenopus anatomy and development underpins more accurate annotation of gene expression and queries on Xenbase

Overview of attention for article published in Journal of Biomedical Semantics, October 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

wikipedia
1 Wikipedia page
googleplus
2 Google+ users

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
41 Mendeley
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Title
Enhanced XAO: the ontology of Xenopus anatomy and development underpins more accurate annotation of gene expression and queries on Xenbase
Published in
Journal of Biomedical Semantics, October 2013
DOI 10.1186/2041-1480-4-31
Pubmed ID
Authors

Erik Segerdell, Virgilio G Ponferrada, Christina James-Zorn, Kevin A Burns, Joshua D Fortriede, Wasila M Dahdul, Peter D Vize, Aaron M Zorn

Abstract

The African clawed frogs Xenopus laevis and Xenopus tropicalis are prominent animal model organisms. Xenopus research contributes to the understanding of genetic, developmental and molecular mechanisms underlying human disease. The Xenopus Anatomy Ontology (XAO) reflects the anatomy and embryological development of Xenopus. The XAO provides consistent terminology that can be applied to anatomical feature descriptions along with a set of relationships that indicate how each anatomical entity is related to others in the embryo, tadpole, or adult frog. The XAO is integral to the functionality of Xenbase (http://www.xenbase.org), the Xenopus model organism database.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Mexico 1 2%
Netherlands 1 2%
Argentina 1 2%
Unknown 36 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 22%
Student > Master 9 22%
Student > Bachelor 7 17%
Professor > Associate Professor 4 10%
Student > Doctoral Student 1 2%
Other 5 12%
Unknown 6 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 29%
Biochemistry, Genetics and Molecular Biology 12 29%
Medicine and Dentistry 2 5%
Computer Science 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 5 12%
Unknown 7 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 04 February 2020.
All research outputs
#6,753,240
of 25,371,288 outputs
Outputs from Journal of Biomedical Semantics
#96
of 368 outputs
Outputs of similar age
#58,043
of 224,543 outputs
Outputs of similar age from Journal of Biomedical Semantics
#4
of 19 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 368 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 71% 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 224,543 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 73% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.