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A statistical learning framework for groundwater nitrate models of the Central Valley, California, USA

Overview of attention for article published in Journal of Hydrology, December 2015
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
68 Mendeley
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Title
A statistical learning framework for groundwater nitrate models of the Central Valley, California, USA
Published in
Journal of Hydrology, December 2015
DOI 10.1016/j.jhydrol.2015.10.025
Authors

Bernard T. Nolan, Michael N. Fienen, David L. Lorenz

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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 35%
Researcher 11 16%
Unspecified 7 10%
Student > Bachelor 7 10%
Student > Master 6 9%
Other 13 19%
Readers by discipline Count As %
Environmental Science 22 32%
Earth and Planetary Sciences 16 24%
Unspecified 15 22%
Engineering 9 13%
Agricultural and Biological Sciences 5 7%
Other 1 1%

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 09 December 2015.
All research outputs
#7,358,000
of 12,256,312 outputs
Outputs from Journal of Hydrology
#1,158
of 2,838 outputs
Outputs of similar age
#125,961
of 259,651 outputs
Outputs of similar age from Journal of Hydrology
#31
of 193 outputs
Altmetric has tracked 12,256,312 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 2,838 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 56% of its peers.
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 259,651 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 193 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.