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Injection-Induced Seismic Risk Management Using Machine Learning Methodology – A Perspective Study

Overview of attention for article published in Frontiers in Earth Science, June 2020
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Mentioned by

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2 X users

Citations

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15 Dimensions

Readers on

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49 Mendeley
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Title
Injection-Induced Seismic Risk Management Using Machine Learning Methodology – A Perspective Study
Published in
Frontiers in Earth Science, June 2020
DOI 10.3389/feart.2020.00227
Authors

Miao He, Qi Li, Xiaying Li

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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 20%
Student > Doctoral Student 6 12%
Researcher 4 8%
Unspecified 3 6%
Student > Master 3 6%
Other 6 12%
Unknown 17 35%
Readers by discipline Count As %
Earth and Planetary Sciences 10 20%
Engineering 10 20%
Unspecified 3 6%
Mathematics 2 4%
Environmental Science 1 2%
Other 4 8%
Unknown 19 39%
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 June 2020.
All research outputs
#18,066,966
of 23,215,490 outputs
Outputs from Frontiers in Earth Science
#2,124
of 4,809 outputs
Outputs of similar age
#285,314
of 399,722 outputs
Outputs of similar age from Frontiers in Earth Science
#114
of 192 outputs
Altmetric has tracked 23,215,490 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,809 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 49th percentile – i.e., 49% 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 399,722 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 192 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.