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Semianalytical Computation of Path Lines for Finite‐Difference Models

Overview of attention for article published in Ground Water, March 2006
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Mentioned by

policy
1 policy source

Readers on

mendeley
119 Mendeley
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Title
Semianalytical Computation of Path Lines for Finite‐Difference Models
Published in
Ground Water, March 2006
DOI 10.1111/j.1745-6584.1988.tb00425.x
Authors

David W. Pollock

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Netherlands 1 <1%
India 1 <1%
United States 1 <1%
Unknown 115 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 27%
Researcher 25 21%
Student > Master 15 13%
Student > Doctoral Student 7 6%
Student > Bachelor 6 5%
Other 19 16%
Unknown 15 13%
Readers by discipline Count As %
Earth and Planetary Sciences 33 28%
Engineering 32 27%
Environmental Science 12 10%
Agricultural and Biological Sciences 5 4%
Mathematics 3 3%
Other 8 7%
Unknown 26 22%
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 01 January 2006.
All research outputs
#8,759,452
of 25,837,817 outputs
Outputs from Ground Water
#259
of 905 outputs
Outputs of similar age
#29,765
of 86,933 outputs
Outputs of similar age from Ground Water
#24
of 81 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 905 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 24th percentile – i.e., 24% 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 86,933 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.