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Review of design optimization of fluid machinery: applying computational fluid dynamics and numerical optimization

Overview of attention for article published in Complex Adaptive Systems Modeling, July 2019
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Mentioned by

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1 Facebook page

Citations

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4 Dimensions

Readers on

mendeley
29 Mendeley
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Title
Review of design optimization of fluid machinery: applying computational fluid dynamics and numerical optimization
Published in
Complex Adaptive Systems Modeling, July 2019
DOI 10.1186/s40294-019-0063-0
Authors

Qasim Ali Chaudhry, Qasem M. Al-Mdallal

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 21%
Researcher 4 14%
Student > Bachelor 3 10%
Student > Ph. D. Student 2 7%
Librarian 1 3%
Other 3 10%
Unknown 10 34%
Readers by discipline Count As %
Engineering 14 48%
Chemical Engineering 1 3%
Computer Science 1 3%
Unspecified 1 3%
Unknown 12 41%
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 22 November 2019.
All research outputs
#20,592,137
of 23,177,498 outputs
Outputs from Complex Adaptive Systems Modeling
#70
of 79 outputs
Outputs of similar age
#294,602
of 346,200 outputs
Outputs of similar age from Complex Adaptive Systems Modeling
#2
of 3 outputs
Altmetric has tracked 23,177,498 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 79 research outputs from this source. They receive a mean Attention Score of 3.4. 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 346,200 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.