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Evolving BioAssay Ontology (BAO): modularization, integration and applications

Overview of attention for article published in Journal of Biomedical Semantics, June 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
73 Dimensions

Readers on

mendeley
72 Mendeley
citeulike
3 CiteULike
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Title
Evolving BioAssay Ontology (BAO): modularization, integration and applications
Published in
Journal of Biomedical Semantics, June 2014
DOI 10.1186/2041-1480-5-s1-s5
Pubmed ID
Authors

Saminda Abeyruwan, Uma D Vempati, Hande Küçük-McGinty, Ubbo Visser, Amar Koleti, Ahsan Mir, Kunie Sakurai, Caty Chung, Joshua A Bittker, Paul A Clemons, Steve Brudz, Anosha Siripala, Arturo J Morales, Martin Romacker, David Twomey, Svetlana Bureeva, Vance Lemmon, Stephan C Schürer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
United States 1 1%
Bulgaria 1 1%
Unknown 69 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 24%
Student > Ph. D. Student 15 21%
Student > Bachelor 9 13%
Other 8 11%
Student > Master 5 7%
Other 10 14%
Unknown 8 11%
Readers by discipline Count As %
Computer Science 17 24%
Chemistry 10 14%
Agricultural and Biological Sciences 7 10%
Biochemistry, Genetics and Molecular Biology 7 10%
Pharmacology, Toxicology and Pharmaceutical Science 6 8%
Other 14 19%
Unknown 11 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 July 2023.
All research outputs
#8,039,534
of 24,169,085 outputs
Outputs from Journal of Biomedical Semantics
#148
of 362 outputs
Outputs of similar age
#75,833
of 232,225 outputs
Outputs of similar age from Journal of Biomedical Semantics
#3
of 5 outputs
Altmetric has tracked 24,169,085 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 362 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 53% 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 232,225 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 54% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.