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Landform features and seasonal precipitation predict shallow groundwater influence on temperature in headwater streams

Overview of attention for article published in Water Resources Research, July 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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5 X users

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
54 Mendeley
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Title
Landform features and seasonal precipitation predict shallow groundwater influence on temperature in headwater streams
Published in
Water Resources Research, July 2017
DOI 10.1002/2017wr020455
Authors

Zachary C. Johnson, Craig D. Snyder, Nathaniel P. Hitt

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 53 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 22%
Student > Ph. D. Student 12 22%
Student > Master 7 13%
Student > Bachelor 3 6%
Professor 3 6%
Other 8 15%
Unknown 9 17%
Readers by discipline Count As %
Earth and Planetary Sciences 12 22%
Environmental Science 10 19%
Agricultural and Biological Sciences 6 11%
Engineering 5 9%
Computer Science 2 4%
Other 3 6%
Unknown 16 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 September 2017.
All research outputs
#7,727,332
of 23,493,900 outputs
Outputs from Water Resources Research
#1,840
of 4,973 outputs
Outputs of similar age
#121,280
of 316,169 outputs
Outputs of similar age from Water Resources Research
#52
of 94 outputs
Altmetric has tracked 23,493,900 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,973 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one is in the 35th percentile – i.e., 35% 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 316,169 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.