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Nanofluids for heat transfer: an engineering approach

Overview of attention for article published in Nanoscale Research Letters, February 2011
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232 Mendeley
Title
Nanofluids for heat transfer: an engineering approach
Published in
Nanoscale Research Letters, 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.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 232 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 229 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 24%
Researcher 33 14%
Student > Master 28 12%
Student > Bachelor 26 11%
Student > Doctoral Student 16 7%
Other 35 15%
Unknown 38 16%
Readers by discipline Count As %
Engineering 115 50%
Chemical Engineering 16 7%
Materials Science 11 5%
Energy 9 4%
Mathematics 7 3%
Other 17 7%
Unknown 57 25%

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
#13,726,552
of 22,780,165 outputs
Outputs from Nanoscale Research Letters
#428
of 1,077 outputs
Outputs of similar age
#81,809
of 108,413 outputs
Outputs of similar age from Nanoscale Research Letters
#23
of 31 outputs
Altmetric has tracked 22,780,165 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,077 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 59% 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 108,413 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.