↓ Skip to main content

MobiByte: An Application Development Model for Mobile Cloud Computing

Overview of attention for article published in Journal of Grid Computing, April 2015
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#35 of 117)
  • Above-average Attention Score compared to outputs of the same age (56th percentile)

Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
66 Mendeley
Title
MobiByte: An Application Development Model for Mobile Cloud Computing
Published in
Journal of Grid Computing, April 2015
DOI 10.1007/s10723-015-9335-x
Authors

Atta ur Rehman Khan, Mazliza Othman, Abdul Nasir Khan, Shahbaz Akhtar Abid, Sajjad Ahmad Madani

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Palestine, State of 1 2%
Brazil 1 2%
Unknown 63 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 30%
Student > Master 12 18%
Student > Doctoral Student 6 9%
Student > Bachelor 5 8%
Researcher 3 5%
Other 7 11%
Unknown 13 20%
Readers by discipline Count As %
Computer Science 43 65%
Engineering 6 9%
Nursing and Health Professions 1 2%
Unknown 16 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 April 2021.
All research outputs
#7,489,401
of 22,893,031 outputs
Outputs from Journal of Grid Computing
#35
of 117 outputs
Outputs of similar age
#91,036
of 265,395 outputs
Outputs of similar age from Journal of Grid Computing
#1
of 2 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% 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 32nd percentile – i.e., 32% 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 265,395 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 56% 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