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Exploring the support for high performance applications in the container runtime environment

Overview of attention for article published in Human-centric Computing and Information Sciences, January 2018
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Mentioned by

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1 X user

Citations

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63 Dimensions

Readers on

mendeley
57 Mendeley
Title
Exploring the support for high performance applications in the container runtime environment
Published in
Human-centric Computing and Information Sciences, January 2018
DOI 10.1186/s13673-017-0124-3
Authors

John Paul Martin, A. Kandasamy, K. Chandrasekaran

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

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 26%
Student > Ph. D. Student 7 12%
Student > Doctoral Student 4 7%
Researcher 4 7%
Student > Bachelor 3 5%
Other 6 11%
Unknown 18 32%
Readers by discipline Count As %
Computer Science 29 51%
Engineering 4 7%
Business, Management and Accounting 2 4%
Agricultural and Biological Sciences 1 2%
Decision Sciences 1 2%
Other 1 2%
Unknown 19 33%
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 31 December 2018.
All research outputs
#18,661,637
of 23,120,280 outputs
Outputs from Human-centric Computing and Information Sciences
#65
of 79 outputs
Outputs of similar age
#331,337
of 442,695 outputs
Outputs of similar age from Human-centric Computing and Information Sciences
#3
of 3 outputs
Altmetric has tracked 23,120,280 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 79 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 10th percentile – i.e., 10% 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 442,695 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% 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.