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Applications of spatial statistical network models to stream data

Overview of attention for article published in Wiley Interdisciplinary Reviews: Water, March 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
79 Dimensions

Readers on

mendeley
221 Mendeley
citeulike
1 CiteULike
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Title
Applications of spatial statistical network models to stream data
Published in
Wiley Interdisciplinary Reviews: Water, March 2014
DOI 10.1002/wat2.1023
Authors

Isaak, Daniel J., Peterson, Erin E., Ver Hoef, Jay M., Wenger, Seth J., Falke, Jeffrey A., Torgersen, Christian E., Sowder, Colin, Steel, E. Ashley, Fortin, Marie‐Josee, Jordan, Chris E., Ruesch, Aaron S., Som, Nicholas, Monestiez, Pascal, Daniel J. Isaak, Erin E. Peterson, Jay M. Ver Hoef, Seth J. Wenger, Jeffrey A. Falke, Christian E. Torgersen, Colin Sowder, E. Ashley Steel, Marie‐Josee Fortin, Chris E. Jordan, Aaron S. Ruesch, Nicholas Som, Pascal Monestiez

Twitter Demographics

The data shown below were collected from the profiles of 3 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 221 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
Canada 3 1%
Colombia 2 <1%
United Kingdom 2 <1%
Austria 1 <1%
Brazil 1 <1%
France 1 <1%
Germany 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 201 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 54 24%
Student > Ph. D. Student 51 23%
Student > Master 48 22%
Professor > Associate Professor 11 5%
Professor 11 5%
Other 36 16%
Unknown 10 5%
Readers by discipline Count As %
Environmental Science 92 42%
Agricultural and Biological Sciences 52 24%
Earth and Planetary Sciences 19 9%
Engineering 12 5%
Computer Science 7 3%
Other 15 7%
Unknown 24 11%

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 16 May 2018.
All research outputs
#7,470,511
of 12,953,232 outputs
Outputs from Wiley Interdisciplinary Reviews: Water
#146
of 207 outputs
Outputs of similar age
#147,755
of 337,235 outputs
Outputs of similar age from Wiley Interdisciplinary Reviews: Water
#7
of 11 outputs
Altmetric has tracked 12,953,232 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 207 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 26th percentile – i.e., 26% 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 337,235 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 53% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.