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LEQNet: Light Earthquake Deep Neural Network for Earthquake Detection and Phase Picking

Overview of attention for article published in Frontiers in Earth Science, July 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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5 Dimensions

Readers on

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11 Mendeley
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Title
LEQNet: Light Earthquake Deep Neural Network for Earthquake Detection and Phase Picking
Published in
Frontiers in Earth Science, July 2022
DOI 10.3389/feart.2022.848237
Authors

Jongseong Lim, Sunghun Jung, Chan JeGal, Gwanghoon Jung, Jung Ho Yoo, Jin Kyu Gahm, Giltae Song

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 18%
Unspecified 1 9%
Student > Ph. D. Student 1 9%
Student > Bachelor 1 9%
Student > Master 1 9%
Other 1 9%
Unknown 4 36%
Readers by discipline Count As %
Computer Science 3 27%
Engineering 2 18%
Earth and Planetary Sciences 1 9%
Unspecified 1 9%
Unknown 4 36%
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 10 August 2022.
All research outputs
#18,618,203
of 23,063,209 outputs
Outputs from Frontiers in Earth Science
#2,388
of 4,682 outputs
Outputs of similar age
#306,088
of 435,934 outputs
Outputs of similar age from Frontiers in Earth Science
#174
of 418 outputs
Altmetric has tracked 23,063,209 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 4,682 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 33rd percentile – i.e., 33% 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 435,934 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 418 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.