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Analysis of Categorical Subgroup Method for Resonance Self-Shielding Treatment

Overview of attention for article published in Frontiers in Energy Research, May 2019
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2 X users

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5 Mendeley
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Title
Analysis of Categorical Subgroup Method for Resonance Self-Shielding Treatment
Published in
Frontiers in Energy Research, May 2019
DOI 10.3389/fenrg.2019.00048
Authors

Song Li, Zhijian Zhang, Qian Zhang, Chen Hao, Qiang Zhao

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X Demographics

X Demographics

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Student > Master 1 20%
Unknown 3 60%
Readers by discipline Count As %
Engineering 2 40%
Unknown 3 60%
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 16 May 2019.
All research outputs
#18,681,024
of 23,146,350 outputs
Outputs from Frontiers in Energy Research
#755
of 3,366 outputs
Outputs of similar age
#263,351
of 351,362 outputs
Outputs of similar age from Frontiers in Energy Research
#14
of 29 outputs
Altmetric has tracked 23,146,350 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,366 research outputs from this source. They receive a mean Attention Score of 1.7. This one has gotten more attention than average, scoring higher than 61% 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 351,362 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.