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A semantic enhanced Power Budget Calculator for distributed computing using IEEE 802.3az

Overview of attention for article published in Cluster Computing, August 2014
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

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3 Dimensions

Readers on

mendeley
20 Mendeley
citeulike
1 CiteULike
Title
A semantic enhanced Power Budget Calculator for distributed computing using IEEE 802.3az
Published in
Cluster Computing, August 2014
DOI 10.1007/s10586-014-0395-7
Authors

Hao Zhu, Karel van der Veldt, Zhiming Zhao, Paola Grosso, Dimitar Pavlov, Joris Soeurt, Xiangke Liao, Cees de Laat

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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 15%
Student > Master 3 15%
Professor > Associate Professor 3 15%
Researcher 2 10%
Student > Ph. D. Student 1 5%
Other 1 5%
Unknown 7 35%
Readers by discipline Count As %
Computer Science 9 45%
Engineering 3 15%
Unknown 8 40%
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 02 March 2015.
All research outputs
#15,325,572
of 22,793,427 outputs
Outputs from Cluster Computing
#174
of 272 outputs
Outputs of similar age
#133,496
of 230,723 outputs
Outputs of similar age from Cluster Computing
#3
of 3 outputs
Altmetric has tracked 22,793,427 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 272 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 19th percentile – i.e., 19% 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 230,723 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.