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P-SEP: a prolong stable election routing algorithm for energy-limited heterogeneous fog-supported wireless sensor networks

Overview of attention for article published in The Journal of Supercomputing, June 2016
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1 X user

Citations

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243 Dimensions

Readers on

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123 Mendeley
Title
P-SEP: a prolong stable election routing algorithm for energy-limited heterogeneous fog-supported wireless sensor networks
Published in
The Journal of Supercomputing, June 2016
DOI 10.1007/s11227-016-1785-9
Authors

Paola G. Vinueza Naranjo, Mohammad Shojafar, Habib Mostafaei, Zahra Pooranian, Enzo Baccarelli

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

Geographical breakdown

Country Count As %
Brazil 1 <1%
Unknown 122 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 21%
Student > Master 19 15%
Student > Doctoral Student 7 6%
Researcher 7 6%
Lecturer 5 4%
Other 14 11%
Unknown 45 37%
Readers by discipline Count As %
Computer Science 46 37%
Engineering 20 16%
Social Sciences 3 2%
Agricultural and Biological Sciences 1 <1%
Economics, Econometrics and Finance 1 <1%
Other 4 3%
Unknown 48 39%
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 01 September 2016.
All research outputs
#16,223,992
of 23,911,072 outputs
Outputs from The Journal of Supercomputing
#338
of 543 outputs
Outputs of similar age
#228,906
of 357,154 outputs
Outputs of similar age from The Journal of Supercomputing
#6
of 9 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 543 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 20th percentile – i.e., 20% 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 357,154 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 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.