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Automating calibration, sensitivity and uncertainty analysis of complex models using the R package Flexible Modeling Environment (FME): SWAT as an example

Overview of attention for article published in Environmental Modelling & Software, May 2012
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Mentioned by

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1 Facebook page

Citations

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62 Dimensions

Readers on

mendeley
187 Mendeley
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Title
Automating calibration, sensitivity and uncertainty analysis of complex models using the R package Flexible Modeling Environment (FME): SWAT as an example
Published in
Environmental Modelling & Software, May 2012
DOI 10.1016/j.envsoft.2011.11.013
Authors

Yiping Wu, Shuguang Liu

Mendeley readers

The data shown below were compiled from readership statistics for 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
India 1 <1%
France 1 <1%
Finland 1 <1%
Netherlands 1 <1%
Canada 1 <1%
Thailand 1 <1%
Spain 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 173 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 69 37%
Researcher 26 14%
Student > Master 24 13%
Professor 10 5%
Professor > Associate Professor 10 5%
Other 37 20%
Unknown 11 6%
Readers by discipline Count As %
Engineering 51 27%
Environmental Science 46 25%
Earth and Planetary Sciences 33 18%
Agricultural and Biological Sciences 15 8%
Computer Science 5 3%
Other 11 6%
Unknown 26 14%

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 16 August 2012.
All research outputs
#10,854,800
of 12,246,964 outputs
Outputs from Environmental Modelling & Software
#718
of 754 outputs
Outputs of similar age
#104,089
of 122,029 outputs
Outputs of similar age from Environmental Modelling & Software
#9
of 9 outputs
Altmetric has tracked 12,246,964 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 754 research outputs from this source. They receive a mean Attention Score of 4.4. 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 122,029 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 9 others from the same source and published within six weeks on either side of this one.