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Heat as a groundwater tracer in shallow and deep heterogeneous media: Analytical solution, spreadsheet tool, and field applications

Overview of attention for article published in Hydrological Processes, June 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
12 tweeters

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
51 Mendeley
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Title
Heat as a groundwater tracer in shallow and deep heterogeneous media: Analytical solution, spreadsheet tool, and field applications
Published in
Hydrological Processes, June 2017
DOI 10.1002/hyp.11216
Pubmed ID
Authors

Barret L. Kurylyk, Dylan J. Irvine, Sean K. Carey, Martin A. Briggs, Dale D. Werkema, Mariah Bonham

Twitter Demographics

The data shown below were collected from the profiles of 12 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 33%
Researcher 10 20%
Student > Master 8 16%
Student > Doctoral Student 3 6%
Professor > Associate Professor 3 6%
Other 3 6%
Unknown 7 14%
Readers by discipline Count As %
Earth and Planetary Sciences 21 41%
Environmental Science 7 14%
Engineering 7 14%
Agricultural and Biological Sciences 2 4%
Physics and Astronomy 1 2%
Other 0 0%
Unknown 13 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 03 June 2019.
All research outputs
#2,491,176
of 15,168,919 outputs
Outputs from Hydrological Processes
#156
of 1,316 outputs
Outputs of similar age
#59,268
of 265,316 outputs
Outputs of similar age from Hydrological Processes
#3
of 16 outputs
Altmetric has tracked 15,168,919 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,316 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 87% 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 265,316 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 16 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.