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Transaction-level modeling for architectural and power analysis of PowerPC and CoreConnect-based systems

Overview of attention for article published in Design Automation for Embedded Systems, September 2006
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Mentioned by

patent
2 patents

Citations

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10 Dimensions

Readers on

mendeley
6 Mendeley
Title
Transaction-level modeling for architectural and power analysis of PowerPC and CoreConnect-based systems
Published in
Design Automation for Embedded Systems, September 2006
DOI 10.1007/s10617-006-9586-7
Authors

Nagu Dhanwada, Reinaldo A. Bergamaschi, William W. Dungan, Indira Nair, Paul Gramann, William E. Dougherty, Ing-Chao Lin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 50%
Professor > Associate Professor 1 17%
Student > Bachelor 1 17%
Unknown 1 17%
Readers by discipline Count As %
Engineering 4 67%
Immunology and Microbiology 1 17%
Computer Science 1 17%
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 02 August 2022.
All research outputs
#7,541,115
of 23,006,268 outputs
Outputs from Design Automation for Embedded Systems
#9
of 42 outputs
Outputs of similar age
#23,654
of 67,846 outputs
Outputs of similar age from Design Automation for Embedded Systems
#1
of 1 outputs
Altmetric has tracked 23,006,268 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 42 research outputs from this source. They receive a mean Attention Score of 3.6. This one scored the same or higher as 33 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 67,846 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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