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A predictive methodology for multi-seam mining induced subsidence

Overview of attention for article published in International Journal of Rock Mechanics & Mining Sciences, March 2017
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1 X user

Citations

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47 Dimensions

Readers on

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33 Mendeley
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Title
A predictive methodology for multi-seam mining induced subsidence
Published in
International Journal of Rock Mechanics & Mining Sciences, March 2017
DOI 10.1016/j.ijrmms.2017.02.003
Authors

Behrooz Ghabraie, Gang Ren, James Barbato, John V. Smith

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

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 33%
Student > Master 4 12%
Lecturer 2 6%
Unspecified 2 6%
Student > Doctoral Student 2 6%
Other 3 9%
Unknown 9 27%
Readers by discipline Count As %
Engineering 15 45%
Earth and Planetary Sciences 3 9%
Unspecified 2 6%
Environmental Science 2 6%
Materials Science 1 3%
Other 1 3%
Unknown 9 27%
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 18 February 2017.
All research outputs
#20,660,571
of 25,382,440 outputs
Outputs from International Journal of Rock Mechanics & Mining Sciences
#529
of 589 outputs
Outputs of similar age
#251,546
of 324,443 outputs
Outputs of similar age from International Journal of Rock Mechanics & Mining Sciences
#4
of 4 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 589 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 6th percentile – i.e., 6% 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 324,443 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.