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Attention Score in Context
| Title |
Study on the Calculation Method of Molten Pool Decay Heat Distribution under IVR Condition
|
|---|---|
| Published in |
Frontiers in Energy Research, June 2021
|
| DOI | 10.3389/fenrg.2021.677865 |
| Authors |
Yisheng Hao, Junyi Chen, Hao Luo, Xiaoyu Guo, Minyun Liu, Shanfang Huang, Kan Wang, Houjun Gong, Yang Li, Yuwen Hu, Chuan Lu |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 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 02 June 2021.
All research outputs
#20,707,815
of 23,308,124 outputs
Outputs from Frontiers in Energy Research
#1,332
of 3,446 outputs
Outputs of similar age
#368,896
of 448,096 outputs
Outputs of similar age from Frontiers in Energy Research
#104
of 223 outputs
Altmetric has tracked 23,308,124 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 3,446 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 448,096 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 223 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.