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Integration and publication of heterogeneous text-mined relationships on the Semantic Web

Overview of attention for article published in Journal of Biomedical Semantics, May 2011
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

patent
1 patent

Readers on

mendeley
79 Mendeley
citeulike
6 CiteULike
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Title
Integration and publication of heterogeneous text-mined relationships on the Semantic Web
Published in
Journal of Biomedical Semantics, May 2011
DOI 10.1186/2041-1480-2-s2-s10
Pubmed ID
Authors

Adrien Coulet, Yael Garten, Michel Dumontier, Russ B Altman, Mark A Musen, Nigam H Shah

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 9%
Germany 1 1%
Netherlands 1 1%
France 1 1%
Sweden 1 1%
Switzerland 1 1%
United Kingdom 1 1%
India 1 1%
Japan 1 1%
Other 1 1%
Unknown 63 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 25%
Student > Ph. D. Student 15 19%
Student > Master 10 13%
Professor 6 8%
Other 6 8%
Other 14 18%
Unknown 8 10%
Readers by discipline Count As %
Computer Science 32 41%
Agricultural and Biological Sciences 16 20%
Medicine and Dentistry 4 5%
Engineering 4 5%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 12 15%
Unknown 9 11%
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 17 July 2018.
All research outputs
#7,540,093
of 23,002,898 outputs
Outputs from Journal of Biomedical Semantics
#145
of 364 outputs
Outputs of similar age
#41,313
of 112,461 outputs
Outputs of similar age from Journal of Biomedical Semantics
#4
of 9 outputs
Altmetric has tracked 23,002,898 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 364 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 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 112,461 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.