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Prompt gamma spectroscopy retrieval algorithm for element and density measurements accelerated by cloud computing

Overview of attention for article published in Frontiers in Physics, November 2022
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1 X user

Citations

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9 Dimensions

Readers on

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4 Mendeley
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Title
Prompt gamma spectroscopy retrieval algorithm for element and density measurements accelerated by cloud computing
Published in
Frontiers in Physics, November 2022
DOI 10.3389/fphy.2022.961162
Authors

Jin-Long Wang, Xiao-Guang Wu, Zuo-Feng Li, Shu-Qing Xie, Da-Qian Hei, Zi-Hao Zhao, Andrii Rusanov, Yun Zheng, Cong-Bo Li, Tian-Xiao Li, Min Zheng, Xiao-Dong Wang, Da-Jun Ding, Huo-Sheng Ruan

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 50%
Researcher 1 25%
Unknown 1 25%
Readers by discipline Count As %
Physics and Astronomy 2 50%
Engineering 1 25%
Unknown 1 25%
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 02 December 2022.
All research outputs
#20,648,640
of 23,243,271 outputs
Outputs from Frontiers in Physics
#1,652
of 3,667 outputs
Outputs of similar age
#352,423
of 443,361 outputs
Outputs of similar age from Frontiers in Physics
#116
of 445 outputs
Altmetric has tracked 23,243,271 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 3,667 research outputs from this source. They receive a mean Attention Score of 2.5. 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 443,361 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 445 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.