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Nanofluids for heat transfer: an engineering approach

Overview of attention for article published in Discover Nano, February 2011
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Title
Nanofluids for heat transfer: an engineering approach
Published in
Discover Nano, February 2011
DOI 10.1186/1556-276x-6-182
Pubmed ID
Authors

Elena V Timofeeva, Wenhua Yu, David M France, Dileep Singh, Jules L Routbort

Abstract

An overview of systematic studies that address the complexity of nanofluid systems and advance the understanding of nanoscale contributions to viscosity, thermal conductivity, and cooling efficiency of nanofluids is presented. A nanoparticle suspension is considered as a three-phase system including the solid phase (nanoparticles), the liquid phase (fluid media), and the interfacial phase, which contributes significantly to the system properties because of its extremely high surface-to-volume ratio in nanofluids. The systems engineering approach was applied to nanofluid design resulting in a detailed assessment of various parameters in the multivariable nanofluid systems. The relative importance of nanofluid parameters for heat transfer evaluated in this article allows engineering nanofluids with desired set of properties.

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The data shown below were collected from the profiles of 2 X users 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 259 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
Netherlands 1 <1%
United States 1 <1%
Unknown 256 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 21%
Researcher 35 14%
Student > Master 29 11%
Student > Bachelor 27 10%
Student > Doctoral Student 16 6%
Other 46 18%
Unknown 52 20%
Readers by discipline Count As %
Engineering 121 47%
Chemical Engineering 18 7%
Energy 11 4%
Materials Science 11 4%
Mathematics 8 3%
Other 19 7%
Unknown 71 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 January 2015.
All research outputs
#15,517,312
of 25,373,627 outputs
Outputs from Discover Nano
#488
of 1,146 outputs
Outputs of similar age
#91,544
of 119,564 outputs
Outputs of similar age from Discover Nano
#25
of 33 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,146 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 56% of its peers.
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 119,564 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.