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Mendeley readers
Attention Score in Context
Chapter title |
A Variable Local Search Based Memetic Algorithm for the Load Balancing Problem in Cloud Computing
|
---|---|
Chapter number | 18 |
Book title |
Applications of Evolutionary Computation
|
Published in |
Lecture notes in computer science, March 2016
|
DOI | 10.1007/978-3-319-31204-0_18 |
Book ISBNs |
978-3-31-931203-3, 978-3-31-931204-0
|
Authors |
Nasser R. Sabar, Andy Song, Mengjie Zhang, Sabar, Nasser R., Song, Andy, Zhang, Mengjie |
Editors |
Giovanni Squillero, Paolo Burelli |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 3 | 50% |
Student > Ph. D. Student | 1 | 17% |
Unknown | 2 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 2 | 33% |
Computer Science | 1 | 17% |
Unspecified | 1 | 17% |
Unknown | 2 | 33% |
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 05 April 2016.
All research outputs
#20,317,110
of 22,858,915 outputs
Outputs from Lecture notes in computer science
#6,989
of 8,127 outputs
Outputs of similar age
#253,217
of 299,390 outputs
Outputs of similar age from Lecture notes in computer science
#149
of 176 outputs
Altmetric has tracked 22,858,915 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 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. 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 299,390 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 176 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.