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Annotation of SBML models through rule-based semantic integration

Overview of attention for article published in Journal of Biomedical Semantics, June 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
47 Mendeley
citeulike
6 CiteULike
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Title
Annotation of SBML models through rule-based semantic integration
Published in
Journal of Biomedical Semantics, June 2010
DOI 10.1186/2041-1480-1-s1-s3
Pubmed ID
Authors

Allyson L Lister, Phillip Lord, Matthew Pocock, Anil Wipat

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 11%
Latvia 1 2%
Sweden 1 2%
India 1 2%
Denmark 1 2%
China 1 2%
United States 1 2%
Unknown 36 77%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 36%
Student > Ph. D. Student 10 21%
Student > Master 5 11%
Lecturer 3 6%
Professor 2 4%
Other 8 17%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 34%
Computer Science 16 34%
Biochemistry, Genetics and Molecular Biology 4 9%
Engineering 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 2 4%
Unknown 4 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 30 June 2011.
All research outputs
#6,352,869
of 25,373,627 outputs
Outputs from Journal of Biomedical Semantics
#87
of 368 outputs
Outputs of similar age
#29,812
of 104,445 outputs
Outputs of similar age from Journal of Biomedical Semantics
#2
of 5 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 368 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 76% 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 104,445 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 71% 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 3 of them.