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Improved Jellyfish Algorithm-based multi-aspect task scheduling model for IoT tasks over fog integrated cloud environment

Overview of attention for article published in Journal of Cloud Computing, December 2022
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1 X user

Readers on

mendeley
19 Mendeley
Title
Improved Jellyfish Algorithm-based multi-aspect task scheduling model for IoT tasks over fog integrated cloud environment
Published in
Journal of Cloud Computing, December 2022
DOI 10.1186/s13677-022-00376-5
Authors

Nupur Jangu, Zahid Raza

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

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 11%
Student > Ph. D. Student 2 11%
Lecturer 2 11%
Student > Bachelor 1 5%
Unknown 12 63%
Readers by discipline Count As %
Computer Science 5 26%
Unspecified 2 11%
Unknown 12 63%
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 21 January 2023.
All research outputs
#20,941,352
of 23,571,271 outputs
Outputs from Journal of Cloud Computing
#257
of 260 outputs
Outputs of similar age
#351,121
of 442,548 outputs
Outputs of similar age from Journal of Cloud Computing
#3
of 3 outputs
Altmetric has tracked 23,571,271 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 260 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 1st percentile – i.e., 1% 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 442,548 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% 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.