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Hydraulic fracturing and its peculiarities

Overview of attention for article published in Asia Pacific Journal on Computational Engineering, May 2014
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Mentioned by

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1 Facebook page

Citations

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30 Dimensions

Readers on

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29 Mendeley
Title
Hydraulic fracturing and its peculiarities
Published in
Asia Pacific Journal on Computational Engineering, May 2014
DOI 10.1186/2196-1166-1-8
Authors

Stefano Secchi, Bernhard A Schrefler

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 3%
France 1 3%
Ireland 1 3%
Unknown 26 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 31%
Student > Master 5 17%
Researcher 4 14%
Student > Bachelor 2 7%
Student > Doctoral Student 1 3%
Other 4 14%
Unknown 4 14%
Readers by discipline Count As %
Engineering 15 52%
Environmental Science 3 10%
Earth and Planetary Sciences 2 7%
Physics and Astronomy 2 7%
Mathematics 1 3%
Other 2 7%
Unknown 4 14%
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 19 May 2016.
All research outputs
#20,335,770
of 22,880,691 outputs
Outputs from Asia Pacific Journal on Computational Engineering
#2
of 5 outputs
Outputs of similar age
#193,158
of 227,296 outputs
Outputs of similar age from Asia Pacific Journal on Computational Engineering
#1
of 1 outputs
Altmetric has tracked 22,880,691 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 5 research outputs from this source. They receive a mean Attention Score of 0.3. This one scored the same or higher as 3 of them.
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 227,296 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them