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Matchmaking Framework for Mathematical Web Services

Overview of attention for article published in Journal of Grid Computing, March 2006
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About this Attention Score

  • Among the highest-scoring outputs from this source (#35 of 118)

Mentioned by

patent
2 patents

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
4 Mendeley
citeulike
1 CiteULike
Title
Matchmaking Framework for Mathematical Web Services
Published in
Journal of Grid Computing, March 2006
DOI 10.1007/s10723-005-9019-z
Authors

Simone A. Ludwig, Omer F. Rana, Julian Padget, William Naylor

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 25%
United States 1 25%
Unknown 2 50%

Demographic breakdown

Readers by professional status Count As %
Professor 3 75%
Student > Ph. D. Student 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Decision Sciences 1 25%
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 30 June 2015.
All research outputs
#7,557,593
of 23,053,169 outputs
Outputs from Journal of Grid Computing
#35
of 118 outputs
Outputs of similar age
#24,735
of 71,716 outputs
Outputs of similar age from Journal of Grid Computing
#1
of 2 outputs
Altmetric has tracked 23,053,169 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 118 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 33rd percentile – i.e., 33% 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 71,716 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them