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Development and evaluation of a local grid refinement method for block-centered finite-difference groundwater models using shared nodes

Overview of attention for article published in Advances in Water Resources, May 2002
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Development and evaluation of a local grid refinement method for block-centered finite-difference groundwater models using shared nodes
Published in
Advances in Water Resources, May 2002
DOI 10.1016/s0309-1708(02)00021-0
Authors

Steffen Mehl, Mary C. Hill

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 3%
Denmark 1 3%
Canada 1 3%
Unknown 29 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 34%
Student > Master 5 16%
Researcher 4 13%
Professor 3 9%
Professor > Associate Professor 2 6%
Other 2 6%
Unknown 5 16%
Readers by discipline Count As %
Earth and Planetary Sciences 8 25%
Engineering 7 22%
Environmental Science 6 19%
Chemical Engineering 1 3%
Chemistry 1 3%
Other 2 6%
Unknown 7 22%

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 01 January 2015.
All research outputs
#3,527,716
of 12,295,606 outputs
Outputs from Advances in Water Resources
#111
of 471 outputs
Outputs of similar age
#114,419
of 338,974 outputs
Outputs of similar age from Advances in Water Resources
#3
of 10 outputs
Altmetric has tracked 12,295,606 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 471 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 53% of its peers.
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 338,974 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 63% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.