↓ Skip to main content

Using watershed characteristics to inform cost-effective stream temperature monitoring

Overview of attention for article published in Aquatic Ecology, June 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
64 Mendeley
Title
Using watershed characteristics to inform cost-effective stream temperature monitoring
Published in
Aquatic Ecology, June 2015
DOI 10.1007/s10452-015-9531-6
Authors

Douglas C. Braun, John D. Reynolds, David A. Patterson

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Mexico 1 2%
Germany 1 2%
Unknown 61 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 25%
Student > Ph. D. Student 10 16%
Student > Master 9 14%
Other 7 11%
Student > Bachelor 4 6%
Other 5 8%
Unknown 13 20%
Readers by discipline Count As %
Environmental Science 29 45%
Agricultural and Biological Sciences 11 17%
Earth and Planetary Sciences 4 6%
Unspecified 2 3%
Veterinary Science and Veterinary Medicine 1 2%
Other 2 3%
Unknown 15 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 June 2015.
All research outputs
#20,281,599
of 22,815,414 outputs
Outputs from Aquatic Ecology
#414
of 517 outputs
Outputs of similar age
#219,428
of 263,249 outputs
Outputs of similar age from Aquatic Ecology
#5
of 16 outputs
Altmetric has tracked 22,815,414 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 517 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 1st percentile – i.e., 1% 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 263,249 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.