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A resource management technique for processing deadline-constrained multi-stage workflows

Overview of attention for article published in Journal of Cloud Computing, September 2017
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1 X user

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22 Mendeley
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Title
A resource management technique for processing deadline-constrained multi-stage workflows
Published in
Journal of Cloud Computing, September 2017
DOI 10.1186/s13677-017-0091-2
Authors

Norman Lim, Shikharesh Majumdar, Peter Ashwood-Smith

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 > Ph. D. Student 6 27%
Student > Doctoral Student 3 14%
Student > Bachelor 2 9%
Professor 2 9%
Other 1 5%
Other 3 14%
Unknown 5 23%
Readers by discipline Count As %
Computer Science 14 64%
Business, Management and Accounting 1 5%
Medicine and Dentistry 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 30 September 2017.
All research outputs
#15,480,316
of 23,003,906 outputs
Outputs from Journal of Cloud Computing
#89
of 256 outputs
Outputs of similar age
#200,975
of 321,103 outputs
Outputs of similar age from Journal of Cloud Computing
#4
of 7 outputs
Altmetric has tracked 23,003,906 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 256 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 44th percentile – i.e., 44% 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 321,103 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.