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Automatic estimation of aquifer parameters using long-term water supply pumping and injection records

Overview of attention for article published in Hydrogeology Journal, April 2016
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2 X users

Citations

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Readers on

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4 Mendeley
Title
Automatic estimation of aquifer parameters using long-term water supply pumping and injection records
Published in
Hydrogeology Journal, April 2016
DOI 10.1007/s10040-016-1407-x
Authors

Ning Luo, Walter A. Illman

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

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 25%
Unknown 3 75%
Readers by discipline Count As %
Environmental Science 1 25%
Unknown 3 75%
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 29 April 2016.
All research outputs
#17,799,386
of 22,865,319 outputs
Outputs from Hydrogeology Journal
#536
of 711 outputs
Outputs of similar age
#205,235
of 299,210 outputs
Outputs of similar age from Hydrogeology Journal
#18
of 27 outputs
Altmetric has tracked 22,865,319 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 711 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 21st percentile – i.e., 21% 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 299,210 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.