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Stochastic reservoir simulation for the modeling of uncertainty in coal seam degasification

Overview of attention for article published in Fuel, May 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

policy
1 policy source

Readers on

mendeley
15 Mendeley
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Title
Stochastic reservoir simulation for the modeling of uncertainty in coal seam degasification
Published in
Fuel, May 2015
DOI 10.1016/j.fuel.2015.01.046
Pubmed ID
Authors

C. Özgen Karacan, Ricardo A. Olea

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Other 4 27%
Student > Ph. D. Student 4 27%
Lecturer > Senior Lecturer 2 13%
Researcher 2 13%
Student > Master 1 7%
Other 1 7%
Unknown 1 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 20%
Chemical Engineering 2 13%
Engineering 2 13%
Nursing and Health Professions 1 7%
Earth and Planetary Sciences 1 7%
Other 3 20%
Unknown 3 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 April 2016.
All research outputs
#8,534,976
of 25,373,627 outputs
Outputs from Fuel
#876
of 3,582 outputs
Outputs of similar age
#97,370
of 278,920 outputs
Outputs of similar age from Fuel
#8
of 28 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,582 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 34th percentile – i.e., 34% 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 278,920 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 54% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.