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A framework for assessing the consistency of drug classes across sources

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

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
19 Mendeley
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Title
A framework for assessing the consistency of drug classes across sources
Published in
Journal of Biomedical Semantics, July 2014
DOI 10.1186/2041-1480-5-30
Pubmed ID
Authors

Rainer Winnenburg, Olivier Bodenreider

Abstract

The objective of this study is to develop a framework for assessing the consistency of drug classes across sources, such as MeSH and ATC. Our framework integrates and contrasts lexical and instance-based ontology alignment techniques. Moreover, we propose metrics for assessing not only equivalence relations, but also inclusion relations among drug classes.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
United States 1 5%
Netherlands 1 5%
Unknown 16 84%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 16%
Researcher 3 16%
Student > Ph. D. Student 3 16%
Student > Master 2 11%
Librarian 1 5%
Other 2 11%
Unknown 5 26%
Readers by discipline Count As %
Computer Science 7 37%
Medicine and Dentistry 3 16%
Agricultural and Biological Sciences 2 11%
Biochemistry, Genetics and Molecular Biology 1 5%
Social Sciences 1 5%
Other 1 5%
Unknown 4 21%
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 04 October 2022.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Journal of Biomedical Semantics
#155
of 368 outputs
Outputs of similar age
#79,379
of 240,612 outputs
Outputs of similar age from Journal of Biomedical Semantics
#9
of 14 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 368 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 52% 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 240,612 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 53% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.