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Incorporation of prior information on parameters into nonlinear regression groundwater flow models: 1. Theory

Overview of attention for article published in Water Resources Research, July 2010
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Mentioned by

patent
2 patents

Citations

dimensions_citation
117 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Incorporation of prior information on parameters into nonlinear regression groundwater flow models: 1. Theory
Published in
Water Resources Research, July 2010
DOI 10.1029/wr018i004p00965
Authors

Richard L. Cooley

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 17%
Brazil 1 17%
Unknown 4 67%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Other 1 17%
Lecturer > Senior Lecturer 1 17%
Student > Doctoral Student 1 17%
Professor > Associate Professor 1 17%
Other 0 0%
Readers by discipline Count As %
Mathematics 2 33%
Earth and Planetary Sciences 2 33%
Engineering 2 33%
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 04 June 2019.
All research outputs
#8,160,367
of 24,464,848 outputs
Outputs from Water Resources Research
#1,955
of 5,108 outputs
Outputs of similar age
#35,804
of 98,453 outputs
Outputs of similar age from Water Resources Research
#252
of 988 outputs
Altmetric has tracked 24,464,848 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 5,108 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 33rd percentile – i.e., 33% 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 98,453 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 988 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.