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A Modified Theoretical Model to Accurately Account for Interfacial Roughness in Predicting the Interfacial Thermal Conductance

Overview of attention for article published in Frontiers in Energy Research, June 2018
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2 X users

Citations

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37 Dimensions

Readers on

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31 Mendeley
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Title
A Modified Theoretical Model to Accurately Account for Interfacial Roughness in Predicting the Interfacial Thermal Conductance
Published in
Frontiers in Energy Research, June 2018
DOI 10.3389/fenrg.2018.00048
Authors

Yingying Zhang, Dengke Ma, Yi Zang, Xiaojia Wang, Nuo Yang

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 26%
Researcher 5 16%
Student > Master 3 10%
Student > Doctoral Student 2 6%
Other 2 6%
Other 3 10%
Unknown 8 26%
Readers by discipline Count As %
Physics and Astronomy 7 23%
Engineering 6 19%
Materials Science 6 19%
Energy 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 1 3%
Unknown 8 26%
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 13 June 2018.
All research outputs
#18,493,111
of 22,914,829 outputs
Outputs from Frontiers in Energy Research
#740
of 3,242 outputs
Outputs of similar age
#252,958
of 327,874 outputs
Outputs of similar age from Frontiers in Energy Research
#16
of 42 outputs
Altmetric has tracked 22,914,829 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,242 research outputs from this source. They receive a mean Attention Score of 1.7. This one has gotten more attention than average, scoring higher than 60% 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 327,874 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 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.