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Time-frequency analysis-based deep interference classification for frequency hopping system

Overview of attention for article published in arXiv, September 2022
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Mentioned by

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1 X user

Citations

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3 Dimensions

Readers on

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2 Mendeley
Title
Time-frequency analysis-based deep interference classification for frequency hopping system
Published in
arXiv, September 2022
DOI 10.1186/s13634-022-00913-z
Authors

Changzhi Xu, Jingya Ren, Wanxin Yu, Yi Jin, Zhenxin Cao, Xiaogang Wu, Weiheng Jiang

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 50%
Other 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Agricultural and Biological Sciences 1 50%
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 24 August 2021.
All research outputs
#22,774,430
of 25,392,582 outputs
Outputs from arXiv
#673,711
of 915,148 outputs
Outputs of similar age
#369,740
of 434,695 outputs
Outputs of similar age from arXiv
#22,368
of 30,620 outputs
Altmetric has tracked 25,392,582 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 915,148 research outputs from this source. They receive a mean Attention Score of 4.3. 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 434,695 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 30,620 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.