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Detecting spatial patterns of rivermouth processes using a geostatistical framework for near-real-time analysis

Overview of attention for article published in Environmental Modelling & Software, November 2017
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2 X users

Citations

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9 Dimensions

Readers on

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33 Mendeley
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Title
Detecting spatial patterns of rivermouth processes using a geostatistical framework for near-real-time analysis
Published in
Environmental Modelling & Software, November 2017
DOI 10.1016/j.envsoft.2017.06.049
Authors

Wenzhao Xu, Paris Collingsworth, Barbara Bailey, Martha Carlson Mazur, Jeffrey Schaeffer, Barbara Minsker

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Student > Master 7 21%
Student > Doctoral Student 5 15%
Researcher 2 6%
Other 2 6%
Other 3 9%
Unknown 7 21%
Readers by discipline Count As %
Environmental Science 9 27%
Computer Science 3 9%
Engineering 3 9%
Agricultural and Biological Sciences 2 6%
Earth and Planetary Sciences 2 6%
Other 5 15%
Unknown 9 27%
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 03 August 2017.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from Environmental Modelling & Software
#1,326
of 1,538 outputs
Outputs of similar age
#248,688
of 340,752 outputs
Outputs of similar age from Environmental Modelling & Software
#23
of 29 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,538 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 12th percentile – i.e., 12% 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 340,752 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.