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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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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
61 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

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

Geographical breakdown

Country Count As %
Netherlands 1 2%
United States 1 2%
Bulgaria 1 2%
Unknown 58 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 28%
Student > Ph. D. Student 14 23%
Other 7 11%
Student > Bachelor 6 10%
Student > Master 5 8%
Other 8 13%
Unknown 4 7%
Readers by discipline Count As %
Computer Science 15 25%
Chemistry 9 15%
Agricultural and Biological Sciences 7 11%
Biochemistry, Genetics and Molecular Biology 6 10%
Engineering 5 8%
Other 13 21%
Unknown 6 10%

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 21 May 2014.
All research outputs
#10,067,384
of 11,350,565 outputs
Outputs from Journal of Biomedical Semantics
#293
of 304 outputs
Outputs of similar age
#151,163
of 182,953 outputs
Outputs of similar age from Journal of Biomedical Semantics
#15
of 16 outputs
Altmetric has tracked 11,350,565 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 304 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 1st percentile – i.e., 1% 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 182,953 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 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.