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Executing SADI services in Galaxy

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

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

Mentioned by

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4 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
19 Mendeley
citeulike
3 CiteULike
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Title
Executing SADI services in Galaxy
Published in
Journal of Biomedical Semantics, September 2014
DOI 10.1186/2041-1480-5-42
Pubmed ID
Abstract

In recent years Galaxy has become a popular workflow management system in bioinformatics, due to its ease of installation, use and extension. The availability of Semantic Web-oriented tools in Galaxy, however, is limited. This is also the case for Semantic Web Services such as those provided by the SADI project, i.e. services that consume and produce RDF. Here we present SADI-Galaxy, a tool generator that deploys selected SADI Services as typical Galaxy tools.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
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 %
Netherlands 1 5%
Canada 1 5%
Spain 1 5%
Japan 1 5%
United States 1 5%
Unknown 14 74%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 32%
Student > Master 4 21%
Professor > Associate Professor 3 16%
Student > Ph. D. Student 2 11%
Student > Doctoral Student 2 11%
Other 3 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 42%
Computer Science 7 37%
Engineering 2 11%
Psychology 1 5%
Unknown 1 5%
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 21 January 2015.
All research outputs
#12,903,654
of 22,764,165 outputs
Outputs from Journal of Biomedical Semantics
#179
of 364 outputs
Outputs of similar age
#113,296
of 251,438 outputs
Outputs of similar age from Journal of Biomedical Semantics
#4
of 7 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% 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 is in the 49th percentile – i.e., 49% 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 251,438 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 7 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.