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Sensitivity Analysis of a Coupled Hydrodynamic-Vegetation Model Using the Effectively Subsampled Quadratures Method

Overview of attention for article published in Geoscientific Model Development, June 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Readers on

mendeley
5 Mendeley
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Title
Sensitivity Analysis of a Coupled Hydrodynamic-Vegetation Model Using the Effectively Subsampled Quadratures Method
Published in
Geoscientific Model Development, June 2017
DOI 10.5194/gmd-2017-107
Authors

Kalra, Tarandeep S., Aretxabaleta, Alfredo, Seshadri, Pranay, Ganju, Neil K., Beudin, Alexis

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Student > Postgraduate 1 20%
Unknown 3 60%
Readers by discipline Count As %
Environmental Science 1 20%
Earth and Planetary Sciences 1 20%
Unknown 3 60%

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 06 June 2017.
All research outputs
#6,474,220
of 11,317,953 outputs
Outputs from Geoscientific Model Development
#462
of 730 outputs
Outputs of similar age
#127,914
of 267,496 outputs
Outputs of similar age from Geoscientific Model Development
#20
of 58 outputs
Altmetric has tracked 11,317,953 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 730 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 14th percentile – i.e., 14% 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 267,496 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.