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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Generalized Perturbation Theory Based Total Sensitivity and Uncertainty Analysis for High-Fidelity Neutronics Calculation
|
|---|---|
| Published in |
Frontiers in Energy Research, October 2021
|
| DOI | 10.3389/fenrg.2021.743642 |
| Authors |
Ji Ma, Chen Hao, Guanghao Liu, Le Kang, Peijun Li, Florencia de los Angeles Renteria del Toro |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 31% |
| Unspecified | 2 | 15% |
| Researcher | 2 | 15% |
| Professor | 1 | 8% |
| Student > Master | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 3 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 23% |
| Unspecified | 2 | 15% |
| Computer Science | 1 | 8% |
| Business, Management and Accounting | 1 | 8% |
| Energy | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 4 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 29 January 2022.
All research outputs
#15,432,953
of 23,009,818 outputs
Outputs from Frontiers in Energy Research
#535
of 3,286 outputs
Outputs of similar age
#246,727
of 437,413 outputs
Outputs of similar age from Frontiers in Energy Research
#45
of 302 outputs
Altmetric has tracked 23,009,818 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,286 research outputs from this source. They receive a mean Attention Score of 1.7. This one has done well, scoring higher than 82% 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 437,413 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 302 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.