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Towards Enabling Live Thresholding as Utility to Manage Elastic Master-Slave Applications in the Cloud

Overview of attention for article published in Journal of Grid Computing, June 2017
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1 X user

Citations

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Readers on

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22 Mendeley
Title
Towards Enabling Live Thresholding as Utility to Manage Elastic Master-Slave Applications in the Cloud
Published in
Journal of Grid Computing, June 2017
DOI 10.1007/s10723-017-9405-3
Authors

Vinicius Facco Rodrigues, Rodrigo da Rosa Righi, Gustavo Rostirolla, Jorge Luis Victória Barbosa, Cristiano André da Costa, Antônio Marcos Alberti, Victor Chang

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

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 23%
Student > Doctoral Student 3 14%
Student > Ph. D. Student 3 14%
Researcher 2 9%
Lecturer 1 5%
Other 4 18%
Unknown 4 18%
Readers by discipline Count As %
Computer Science 15 68%
Arts and Humanities 1 5%
Engineering 1 5%
Unknown 5 23%
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 03 July 2017.
All research outputs
#15,467,628
of 22,985,065 outputs
Outputs from Journal of Grid Computing
#90
of 117 outputs
Outputs of similar age
#197,955
of 314,551 outputs
Outputs of similar age from Journal of Grid Computing
#1
of 1 outputs
Altmetric has tracked 22,985,065 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 117 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 14th percentile – i.e., 14% 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 314,551 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% 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