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Unification of multi-species vertebrate anatomy ontologies for comparative biology in Uberon

Overview of attention for article published in Journal of Biomedical Semantics, January 2014
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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 (#46 of 340)
  • High Attention Score compared to outputs of the same age (86th percentile)

Mentioned by

twitter
13 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
94 Dimensions

Readers on

mendeley
80 Mendeley
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Title
Unification of multi-species vertebrate anatomy ontologies for comparative biology in Uberon
Published in
Journal of Biomedical Semantics, January 2014
DOI 10.1186/2041-1480-5-21
Pubmed ID
Authors

Melissa A Haendel, James P Balhoff, Frederic B Bastian, David C Blackburn, Judith A Blake, Yvonne Bradford, Aurelie Comte, Wasila M Dahdul, Thomas A Dececchi, Robert E Druzinsky, Terry F Hayamizu, Nizar Ibrahim, Suzanna E Lewis, Paula M Mabee, Anne Niknejad, Marc Robinson-Rechavi, Paul C Sereno, Christopher J Mungall

Abstract

Elucidating disease and developmental dysfunction requires understanding variation in phenotype. Single-species model organism anatomy ontologies (ssAOs) have been established to represent this variation. Multi-species anatomy ontologies (msAOs; vertebrate skeletal, vertebrate homologous, teleost, amphibian AOs) have been developed to represent 'natural' phenotypic variation across species. Our aim has been to integrate ssAOs and msAOs for various purposes, including establishing links between phenotypic variation and candidate genes.

Twitter Demographics

The data shown below were collected from the profiles of 13 tweeters 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 9%
Korea, Republic of 1 1%
Switzerland 1 1%
Argentina 1 1%
Germany 1 1%
Unknown 69 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 33%
Student > Ph. D. Student 13 16%
Student > Master 7 9%
Student > Bachelor 6 8%
Professor > Associate Professor 6 8%
Other 15 19%
Unknown 7 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 43%
Computer Science 9 11%
Biochemistry, Genetics and Molecular Biology 8 10%
Chemistry 3 4%
Earth and Planetary Sciences 3 4%
Other 13 16%
Unknown 10 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 28 April 2021.
All research outputs
#2,346,313
of 19,206,351 outputs
Outputs from Journal of Biomedical Semantics
#46
of 340 outputs
Outputs of similar age
#26,157
of 199,633 outputs
Outputs of similar age from Journal of Biomedical Semantics
#1
of 4 outputs
Altmetric has tracked 19,206,351 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 340 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 86% 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 199,633 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 86% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them