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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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  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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2 X users

Citations

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123 Dimensions

Readers on

mendeley
165 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

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 165 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 26%
Researcher 25 15%
Student > Master 19 12%
Student > Postgraduate 9 5%
Student > Bachelor 8 5%
Other 26 16%
Unknown 35 21%
Readers by discipline Count As %
Environmental Science 37 22%
Earth and Planetary Sciences 25 15%
Engineering 23 14%
Agricultural and Biological Sciences 10 6%
Computer Science 4 2%
Other 17 10%
Unknown 49 30%
Attention Score in Context

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
#16,721,717
of 25,373,627 outputs
Outputs from Journal of Hydrology
#3,027
of 8,696 outputs
Outputs of similar age
#228,282
of 395,408 outputs
Outputs of similar age from Journal of Hydrology
#20
of 163 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,696 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 62% 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 395,408 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 163 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.