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Suspended sediment load prediction of river systems: GEP approach

Overview of attention for article published in Arabian Journal of Geosciences, June 2012
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Mentioned by

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1 Facebook page

Citations

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36 Dimensions

Readers on

mendeley
53 Mendeley
Title
Suspended sediment load prediction of river systems: GEP approach
Published in
Arabian Journal of Geosciences, June 2012
DOI 10.1007/s12517-012-0608-4
Authors

H. Md. Azamathulla, Yong Chong Cuan, Aminuddin Ab. Ghani, Chun Kiat Chang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 28%
Student > Master 8 15%
Researcher 5 9%
Professor 4 8%
Student > Doctoral Student 3 6%
Other 6 11%
Unknown 12 23%
Readers by discipline Count As %
Engineering 27 51%
Environmental Science 3 6%
Agricultural and Biological Sciences 2 4%
Earth and Planetary Sciences 2 4%
Unspecified 1 2%
Other 3 6%
Unknown 15 28%
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 07 August 2014.
All research outputs
#20,233,547
of 22,759,618 outputs
Outputs from Arabian Journal of Geosciences
#522
of 585 outputs
Outputs of similar age
#148,242
of 164,506 outputs
Outputs of similar age from Arabian Journal of Geosciences
#2
of 3 outputs
Altmetric has tracked 22,759,618 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 585 research outputs from this source. They receive a mean Attention Score of 3.3. 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 164,506 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 3 others from the same source and published within six weeks on either side of this one.