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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Recent advances in the applications of machine learning methods for heat exchanger modeling—a review
|
|---|---|
| Published in |
Frontiers in Energy Research, November 2023
|
| DOI | 10.3389/fenrg.2023.1294531 |
| Authors |
Junjia Zou, Tomoki Hirokawa, Jiabao An, Long Huang, Joseph Camm |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 31% |
| Unspecified | 1 | 4% |
| Researcher | 1 | 4% |
| Lecturer | 1 | 4% |
| Student > Master | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 14 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 15% |
| Unspecified | 4 | 15% |
| Chemical Engineering | 3 | 12% |
| Medicine and Dentistry | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 13 | 50% |
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 16 November 2023.
All research outputs
#22,242,003
of 24,820,264 outputs
Outputs from Frontiers in Energy Research
#1,479
of 4,227 outputs
Outputs of similar age
#142,152
of 178,149 outputs
Outputs of similar age from Frontiers in Energy Research
#48
of 131 outputs
Altmetric has tracked 24,820,264 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 4,227 research outputs from this source. They receive a mean Attention Score of 1.6. 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 178,149 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 131 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.