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X Demographics
Mendeley readers
Attention Score in Context
Title |
Proposal of a turbulent Prandtl number model for Reynolds-averaged Navier–Stokes approach on the modeling of turbulent heat transfer of low-Prandtl number liquid metal
|
---|---|
Published in |
Frontiers in Energy Research, July 2022
|
DOI | 10.3389/fenrg.2022.928693 |
Authors |
Xi Huang, Bo Pang, Xiang Chai, Yuan Yin |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 20% |
Professor | 2 | 13% |
Student > Ph. D. Student | 2 | 13% |
Student > Doctoral Student | 2 | 13% |
Unknown | 6 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 4 | 27% |
Chemical Engineering | 2 | 13% |
Energy | 1 | 7% |
Unknown | 8 | 53% |
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 21 August 2022.
All research outputs
#20,569,780
of 23,146,350 outputs
Outputs from Frontiers in Energy Research
#1,301
of 3,366 outputs
Outputs of similar age
#346,951
of 434,735 outputs
Outputs of similar age from Frontiers in Energy Research
#52
of 379 outputs
Altmetric has tracked 23,146,350 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 3,366 research outputs from this source. They receive a mean Attention Score of 1.7. 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 434,735 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 379 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.