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Context optimization of AI planning for semantic Web services composition

Overview of attention for article published in Service Oriented Computing and Applications, May 2007
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Mentioned by

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1 Facebook page

Citations

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20 Dimensions

Readers on

mendeley
32 Mendeley
Title
Context optimization of AI planning for semantic Web services composition
Published in
Service Oriented Computing and Applications, May 2007
DOI 10.1007/s11761-007-0010-3
Authors

Lirong Qiu, Liang Chang, Fen Lin, Zhongzhi Shi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
Germany 1 3%
Colombia 1 3%
Romania 1 3%
Norway 1 3%
Unknown 26 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 25%
Researcher 4 13%
Student > Master 4 13%
Professor > Associate Professor 3 9%
Professor 3 9%
Other 4 13%
Unknown 6 19%
Readers by discipline Count As %
Computer Science 20 63%
Social Sciences 2 6%
Decision Sciences 1 3%
Business, Management and Accounting 1 3%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 6 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 October 2012.
All research outputs
#20,166,700
of 22,678,224 outputs
Outputs from Service Oriented Computing and Applications
#31
of 35 outputs
Outputs of similar age
#68,446
of 70,919 outputs
Outputs of similar age from Service Oriented Computing and Applications
#2
of 2 outputs
Altmetric has tracked 22,678,224 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 35 research outputs from this source. They receive a mean Attention Score of 2.5. This one scored the same or higher as 4 of them.
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 70,919 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% 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.