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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)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
94 Dimensions

Readers on

mendeley
264 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

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 4 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 264 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
Colombia 2 <1%
United Kingdom 2 <1%
Canada 2 <1%
France 1 <1%
Germany 1 <1%
Austria 1 <1%
Spain 1 <1%
Brazil 1 <1%
Other 0 0%
Unknown 246 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 61 23%
Student > Ph. D. Student 57 22%
Student > Master 56 21%
Other 14 5%
Professor 13 5%
Other 40 15%
Unknown 23 9%
Readers by discipline Count As %
Environmental Science 103 39%
Agricultural and Biological Sciences 61 23%
Earth and Planetary Sciences 25 9%
Engineering 15 6%
Computer Science 7 3%
Other 17 6%
Unknown 36 14%

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 22 February 2020.
All research outputs
#9,940,928
of 17,036,910 outputs
Outputs from Wiley Interdisciplinary Reviews: Water
#250
of 329 outputs
Outputs of similar age
#157,298
of 350,926 outputs
Outputs of similar age from Wiley Interdisciplinary Reviews: Water
#5
of 9 outputs
Altmetric has tracked 17,036,910 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 329 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one is in the 22nd percentile – i.e., 22% 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 350,926 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 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.