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Numerical analysis of thermoelectric power generation coupled with temperature-dependent material properties

Overview of attention for article published in Frontiers in Energy Research, November 2023
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  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
1 Mendeley
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Title
Numerical analysis of thermoelectric power generation coupled with temperature-dependent material properties
Published in
Frontiers in Energy Research, November 2023
DOI 10.3389/fenrg.2023.1315100
Authors

Chaoyang Xu, Shixuan Huang, Hu Luo, Guoneng Li, Yinwei Fan, Shutian Wei, Cheng Xu, Wenwen Guo

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 100%
Readers by discipline Count As %
Engineering 1 100%
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 08 December 2023.
All research outputs
#19,601,465
of 24,967,663 outputs
Outputs from Frontiers in Energy Research
#721
of 4,316 outputs
Outputs of similar age
#128,626
of 201,793 outputs
Outputs of similar age from Frontiers in Energy Research
#19
of 187 outputs
Altmetric has tracked 24,967,663 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,316 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done well, scoring higher than 79% 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 201,793 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 187 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.