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Using satellite-based rainfall estimates for streamflow modelling: Bagmati Basin

Overview of attention for article published in Journal of Flood Risk Management, July 2008
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Mentioned by

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1 Facebook page

Citations

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55 Dimensions

Readers on

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106 Mendeley
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Title
Using satellite-based rainfall estimates for streamflow modelling: Bagmati Basin
Published in
Journal of Flood Risk Management, July 2008
DOI 10.1111/j.1753-318x.2008.00011.x
Authors

M.S. Shrestha, G.A. Artan, S.R. Bajracharya, R.R. Sharma

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Nepal 2 2%
Japan 1 <1%
Germany 1 <1%
Unknown 102 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 25%
Student > Ph. D. Student 26 25%
Student > Master 22 21%
Student > Doctoral Student 6 6%
Lecturer 6 6%
Other 9 8%
Unknown 11 10%
Readers by discipline Count As %
Engineering 32 30%
Environmental Science 26 25%
Earth and Planetary Sciences 25 24%
Agricultural and Biological Sciences 3 3%
Computer Science 1 <1%
Other 2 2%
Unknown 17 16%

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 March 2014.
All research outputs
#5,726,625
of 6,703,220 outputs
Outputs from Journal of Flood Risk Management
#52
of 55 outputs
Outputs of similar age
#137,456
of 168,761 outputs
Outputs of similar age from Journal of Flood Risk Management
#1
of 1 outputs
Altmetric has tracked 6,703,220 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 55 research outputs from this source. They receive a mean Attention Score of 3.5. 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 168,761 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