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Modeling flow in naturally fractured reservoirs: effect of fracture aperture distribution on dominant sub-network for flow

Overview of attention for article published in Petroleum Science, December 2016
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Mentioned by

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1 X user

Citations

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Readers on

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73 Mendeley
Title
Modeling flow in naturally fractured reservoirs: effect of fracture aperture distribution on dominant sub-network for flow
Published in
Petroleum Science, December 2016
DOI 10.1007/s12182-016-0132-3
Authors

J. Gong, W. R. Rossen

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

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 33%
Researcher 12 16%
Student > Master 8 11%
Other 4 5%
Student > Doctoral Student 2 3%
Other 4 5%
Unknown 19 26%
Readers by discipline Count As %
Earth and Planetary Sciences 19 26%
Engineering 16 22%
Environmental Science 4 5%
Energy 3 4%
Chemical Engineering 1 1%
Other 0 0%
Unknown 30 41%
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 December 2016.
All research outputs
#20,365,559
of 22,914,829 outputs
Outputs from Petroleum Science
#100
of 224 outputs
Outputs of similar age
#332,887
of 394,928 outputs
Outputs of similar age from Petroleum Science
#7
of 18 outputs
Altmetric has tracked 22,914,829 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 224 research outputs from this source. They receive a mean Attention Score of 2.2. 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 394,928 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 18 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.