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X Demographics
Attention Score in Context
| Title |
A new approach for uncertainty quantification in predictor-corrector quasi-static Monte Carlo transient simulation
|
|---|---|
| Published in |
Frontiers in Energy Research, January 2023
|
| DOI | 10.3389/fenrg.2023.1089340 |
| Authors |
Taesuk Oh, Inyup Kim, Yonghee Kim |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
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 February 2023.
All research outputs
#20,796,509
of 23,402,852 outputs
Outputs from Frontiers in Energy Research
#1,347
of 3,503 outputs
Outputs of similar age
#326,779
of 414,468 outputs
Outputs of similar age from Frontiers in Energy Research
#60
of 353 outputs
Altmetric has tracked 23,402,852 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 3,503 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 414,468 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 353 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.