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Extending the persistent primary variable algorithm to simulate non-isothermal two-phase two-component flow with phase change phenomena

Overview of attention for article published in Geothermal Energy, July 2015
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1 X user

Citations

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8 Dimensions

Readers on

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35 Mendeley
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Title
Extending the persistent primary variable algorithm to simulate non-isothermal two-phase two-component flow with phase change phenomena
Published in
Geothermal Energy, July 2015
DOI 10.1186/s40517-015-0030-8
Authors

Yonghui Huang, Olaf Kolditz, Haibing Shao

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 29%
Student > Doctoral Student 5 14%
Student > Ph. D. Student 5 14%
Student > Master 4 11%
Professor > Associate Professor 2 6%
Other 2 6%
Unknown 7 20%
Readers by discipline Count As %
Earth and Planetary Sciences 11 31%
Engineering 6 17%
Environmental Science 3 9%
Mathematics 2 6%
Chemical Engineering 2 6%
Other 4 11%
Unknown 7 20%
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 09 July 2015.
All research outputs
#20,282,766
of 22,816,807 outputs
Outputs from Geothermal Energy
#154
of 187 outputs
Outputs of similar age
#218,899
of 262,224 outputs
Outputs of similar age from Geothermal Energy
#6
of 7 outputs
Altmetric has tracked 22,816,807 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 187 research outputs from this source. They receive a mean Attention Score of 3.1. 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 262,224 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 7 others from the same source and published within six weeks on either side of this one.