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Efficient Ensemble-Based Stochastic Gradient Methods for Optimization Under Geological Uncertainty

Overview of attention for article published in Frontiers in Earth Science, May 2020
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1 X user

Citations

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18 Mendeley
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Title
Efficient Ensemble-Based Stochastic Gradient Methods for Optimization Under Geological Uncertainty
Published in
Frontiers in Earth Science, May 2020
DOI 10.3389/feart.2020.00108
Authors

Hoonyoung Jeong, Alexander Y. Sun, Jonghyeon Jeon, Baehyun Min, Daein Jeong

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

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 22%
Student > Master 3 17%
Professor 2 11%
Other 1 6%
Student > Bachelor 1 6%
Other 2 11%
Unknown 5 28%
Readers by discipline Count As %
Unspecified 4 22%
Engineering 4 22%
Earth and Planetary Sciences 2 11%
Energy 1 6%
Environmental Science 1 6%
Other 0 0%
Unknown 6 33%
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 27 May 2020.
All research outputs
#20,620,796
of 23,211,181 outputs
Outputs from Frontiers in Earth Science
#3,141
of 4,800 outputs
Outputs of similar age
#338,284
of 395,332 outputs
Outputs of similar age from Frontiers in Earth Science
#123
of 159 outputs
Altmetric has tracked 23,211,181 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 4,800 research outputs from this source. They receive a mean Attention Score of 4.8. 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 395,332 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 159 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.