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Bayesian nitrate source apportionment to individual groundwater wells in the Central Valley by use of elemental and isotopic tracers

Overview of attention for article published in Water Resources Research, July 2016
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

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2 X users

Citations

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16 Dimensions

Readers on

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39 Mendeley
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Title
Bayesian nitrate source apportionment to individual groundwater wells in the Central Valley by use of elemental and isotopic tracers
Published in
Water Resources Research, July 2016
DOI 10.1002/2015wr018523
Authors

Katherine M. Ransom, Mark N. Grote, Amanda Deinhart, Gary Eppich, Carol Kendall, Matthew E. Sanborn, A. Kate Souders, Joshua Wimpenny, Qing‐zhu Yin, Megan Young, Thomas Harter

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

Geographical breakdown

Country Count As %
Poland 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 28%
Student > Master 7 18%
Professor > Associate Professor 3 8%
Other 2 5%
Student > Doctoral Student 2 5%
Other 2 5%
Unknown 12 31%
Readers by discipline Count As %
Environmental Science 8 21%
Earth and Planetary Sciences 8 21%
Engineering 3 8%
Agricultural and Biological Sciences 2 5%
Chemistry 2 5%
Other 3 8%
Unknown 13 33%
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 29 June 2016.
All research outputs
#14,908,476
of 24,453,338 outputs
Outputs from Water Resources Research
#3,639
of 5,105 outputs
Outputs of similar age
#214,553
of 373,380 outputs
Outputs of similar age from Water Resources Research
#26
of 57 outputs
Altmetric has tracked 24,453,338 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,105 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 27th percentile – i.e., 27% 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 373,380 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.