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Committee neural networks with fuzzy genetic algorithm

Overview of attention for article published in Journal of Petroleum Science & Engineering, March 2011
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2 X users

Citations

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17 Dimensions

Readers on

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25 Mendeley
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Title
Committee neural networks with fuzzy genetic algorithm
Published in
Journal of Petroleum Science & Engineering, March 2011
DOI 10.1016/j.petrol.2011.01.006
Authors

S.A. Jafari, S. Mashohor, M. Jalali Varnamkhasti

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 4%
United Kingdom 1 4%
Brazil 1 4%
Unknown 22 88%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 24%
Student > Ph. D. Student 3 12%
Student > Bachelor 2 8%
Researcher 2 8%
Student > Postgraduate 2 8%
Other 6 24%
Unknown 4 16%
Readers by discipline Count As %
Engineering 10 40%
Computer Science 3 12%
Agricultural and Biological Sciences 2 8%
Earth and Planetary Sciences 2 8%
Social Sciences 1 4%
Other 1 4%
Unknown 6 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 May 2013.
All research outputs
#15,518,326
of 25,374,917 outputs
Outputs from Journal of Petroleum Science & Engineering
#679
of 967 outputs
Outputs of similar age
#91,923
of 120,086 outputs
Outputs of similar age from Journal of Petroleum Science & Engineering
#9
of 9 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 967 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 28th percentile – i.e., 28% 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 120,086 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.