↓ Skip to main content

Energy-aware scheduling and simulation methodologies for parallel security processors with multiple voltage domains

Overview of attention for article published in The Journal of Supercomputing, April 2007
Altmetric Badge

Mentioned by

patent
1 patent

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
13 Mendeley
citeulike
2 CiteULike
Title
Energy-aware scheduling and simulation methodologies for parallel security processors with multiple voltage domains
Published in
The Journal of Supercomputing, April 2007
DOI 10.1007/s11227-007-0132-6
Authors

Yung-Chia Lin, Yi-Ping You, Chung-Wen Huang, Jenq Kuen Lee, Wei-Kuan Shih, Ting-Ting Hwang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 8%
Italy 1 8%
Unknown 11 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 23%
Researcher 2 15%
Professor 2 15%
Other 1 8%
Student > Master 1 8%
Other 1 8%
Unknown 3 23%
Readers by discipline Count As %
Computer Science 7 54%
Engineering 2 15%
Medicine and Dentistry 1 8%
Psychology 1 8%
Unknown 2 15%
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 28 March 2013.
All research outputs
#7,942,395
of 23,911,072 outputs
Outputs from The Journal of Supercomputing
#116
of 543 outputs
Outputs of similar age
#26,395
of 73,968 outputs
Outputs of similar age from The Journal of Supercomputing
#2
of 6 outputs
Altmetric has tracked 23,911,072 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 543 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 45th percentile – i.e., 45% 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 73,968 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.