↓ Skip to main content

A journey to Semantic Web query federation in the life sciences

Overview of attention for article published in BMC Bioinformatics, October 2009
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
2 blogs
twitter
1 X user

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
174 Mendeley
citeulike
10 CiteULike
connotea
1 Connotea
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A journey to Semantic Web query federation in the life sciences
Published in
BMC Bioinformatics, October 2009
DOI 10.1186/1471-2105-10-s10-s10
Pubmed ID
Authors

Kei-Hoi Cheung, H Robert Frost, M Scott Marshall, Eric Prud'hommeaux, Matthias Samwald, Jun Zhao, Adrian Paschke

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 5%
United Kingdom 6 3%
Germany 4 2%
Spain 3 2%
Portugal 2 1%
Japan 2 1%
Belgium 2 1%
Mexico 2 1%
Sweden 2 1%
Other 13 7%
Unknown 129 74%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 27%
Student > Ph. D. Student 33 19%
Student > Master 17 10%
Other 15 9%
Professor > Associate Professor 11 6%
Other 42 24%
Unknown 9 5%
Readers by discipline Count As %
Computer Science 67 39%
Agricultural and Biological Sciences 40 23%
Medicine and Dentistry 13 7%
Social Sciences 11 6%
Engineering 7 4%
Other 21 12%
Unknown 15 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 11 April 2013.
All research outputs
#2,397,035
of 23,289,753 outputs
Outputs from BMC Bioinformatics
#707
of 7,375 outputs
Outputs of similar age
#8,122
of 94,589 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 58 outputs
Altmetric has tracked 23,289,753 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,375 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 90% 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 94,589 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 91% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.