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Optimizing an Inner-Continental Shelf Geologic Framework Investigation through Data Repurposing and Machine Learning

Overview of attention for article published in Geosciences, May 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
20 Mendeley
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Title
Optimizing an Inner-Continental Shelf Geologic Framework Investigation through Data Repurposing and Machine Learning
Published in
Geosciences, May 2019
DOI 10.3390/geosciences9050231
Authors

Elizabeth A. Pendleton, Edward M. Sweeney, Laura L. Brothers

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 30%
Student > Ph. D. Student 3 15%
Lecturer 2 10%
Student > Master 2 10%
Student > Bachelor 1 5%
Other 1 5%
Unknown 5 25%
Readers by discipline Count As %
Earth and Planetary Sciences 8 40%
Environmental Science 3 15%
Mathematics 1 5%
Arts and Humanities 1 5%
Agricultural and Biological Sciences 1 5%
Other 1 5%
Unknown 5 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 31 May 2019.
All research outputs
#6,915,675
of 23,318,744 outputs
Outputs from Geosciences
#363
of 1,970 outputs
Outputs of similar age
#123,049
of 351,103 outputs
Outputs of similar age from Geosciences
#21
of 131 outputs
Altmetric has tracked 23,318,744 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,970 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 81% of its peers.
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 351,103 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.