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A survey of Cloud monitoring tools: Taxonomy, capabilities and objectives

Overview of attention for article published in Journal of Parallel & Distributed Computing, October 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
116 Dimensions

Readers on

mendeley
298 Mendeley
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Title
A survey of Cloud monitoring tools: Taxonomy, capabilities and objectives
Published in
Journal of Parallel & Distributed Computing, October 2014
DOI 10.1016/j.jpdc.2014.06.007
Authors

Kaniz Fatema, Vincent C. Emeakaroha, Philip D. Healy, John P. Morrison, Theo Lynn

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

Geographical breakdown

Country Count As %
United Kingdom 3 1%
Spain 2 <1%
Romania 2 <1%
Brazil 2 <1%
Indonesia 1 <1%
Italy 1 <1%
Sweden 1 <1%
India 1 <1%
Germany 1 <1%
Other 4 1%
Unknown 280 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 92 31%
Student > Ph. D. Student 52 17%
Student > Bachelor 27 9%
Researcher 26 9%
Student > Doctoral Student 12 4%
Other 48 16%
Unknown 41 14%
Readers by discipline Count As %
Computer Science 191 64%
Engineering 26 9%
Business, Management and Accounting 13 4%
Social Sciences 5 2%
Economics, Econometrics and Finance 2 <1%
Other 10 3%
Unknown 51 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 10 January 2023.
All research outputs
#7,356,550
of 25,374,917 outputs
Outputs from Journal of Parallel & Distributed Computing
#156
of 695 outputs
Outputs of similar age
#73,667
of 265,641 outputs
Outputs of similar age from Journal of Parallel & Distributed Computing
#1
of 2 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 695 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 77% of its peers.
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 265,641 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 2 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