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The Semantic Automated Discovery and Integration (SADI) Web service Design-Pattern, API and Reference Implementation

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

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#19 of 368)
  • High Attention Score compared to outputs of the same age (92nd percentile)

Mentioned by

blogs
1 blog
twitter
7 X users
facebook
1 Facebook page
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
91 Dimensions

Readers on

mendeley
118 Mendeley
citeulike
12 CiteULike
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Title
The Semantic Automated Discovery and Integration (SADI) Web service Design-Pattern, API and Reference Implementation
Published in
Journal of Biomedical Semantics, October 2011
DOI 10.1186/2041-1480-2-8
Pubmed ID
Authors

Mark D Wilkinson, Benjamin Vandervalk, Luke McCarthy

Abstract

The complexity and inter-related nature of biological data poses a difficult challenge for data and tool integration. There has been a proliferation of interoperability standards and projects over the past decade, none of which has been widely adopted by the bioinformatics community. Recent attempts have focused on the use of semantics to assist integration, and Semantic Web technologies are being welcomed by this community.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 8%
Netherlands 4 3%
Spain 3 3%
Canada 3 3%
Japan 2 2%
Australia 1 <1%
Switzerland 1 <1%
United Kingdom 1 <1%
Iceland 1 <1%
Other 5 4%
Unknown 87 74%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 25%
Student > Ph. D. Student 22 19%
Student > Master 19 16%
Other 9 8%
Student > Bachelor 9 8%
Other 20 17%
Unknown 10 8%
Readers by discipline Count As %
Computer Science 49 42%
Agricultural and Biological Sciences 27 23%
Social Sciences 5 4%
Engineering 5 4%
Biochemistry, Genetics and Molecular Biology 4 3%
Other 14 12%
Unknown 14 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 24 January 2017.
All research outputs
#2,223,657
of 25,374,647 outputs
Outputs from Journal of Biomedical Semantics
#19
of 368 outputs
Outputs of similar age
#11,172
of 152,385 outputs
Outputs of similar age from Journal of Biomedical Semantics
#3
of 4 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 368 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 94% 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 152,385 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.