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Tunable consistency guarantees of selective data consistency model

Overview of attention for article published in Journal of Cloud Computing, June 2015
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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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6 Dimensions

Readers on

mendeley
17 Mendeley
Title
Tunable consistency guarantees of selective data consistency model
Published in
Journal of Cloud Computing, June 2015
DOI 10.1186/s13677-015-0038-4
Authors

Shraddha P. Phansalkar, Ajay R. Dani

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

Geographical breakdown

Country Count As %
Ghana 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 35%
Student > Bachelor 3 18%
Student > Doctoral Student 2 12%
Lecturer > Senior Lecturer 2 12%
Other 1 6%
Other 1 6%
Unknown 2 12%
Readers by discipline Count As %
Computer Science 8 47%
Engineering 3 18%
Business, Management and Accounting 2 12%
Medicine and Dentistry 1 6%
Unknown 3 18%
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 16 June 2015.
All research outputs
#15,337,950
of 22,813,792 outputs
Outputs from Journal of Cloud Computing
#88
of 254 outputs
Outputs of similar age
#156,585
of 266,642 outputs
Outputs of similar age from Journal of Cloud Computing
#7
of 8 outputs
Altmetric has tracked 22,813,792 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 254 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 266,642 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 8 others from the same source and published within six weeks on either side of this one.